如何在 C# 中使用 Iron Tesseract

C# 中 Iron Tesseract 的使用方法是建立一個 IronTesseract 實例，使用語言和 OCR 設定來設定它，然後在包含您的影像或 PDF 的 OcrInput 物件上呼叫 Read() 方法。 這會使用 Tesseract 5 的最佳化引擎將文字影像轉換成可搜尋的 PDF。

IronOCR 提供了一個直覺的 API，用於使用自訂和優化的 Tesseract 5，即 Iron Tesseract。 透過 IronOCR 和 IronTesseract 的使用，您將能夠把文字和掃描文件的影像轉換成文字和可搜尋的 PDF。 該函式庫支援 125 種國際語言，並包含 條碼讀取和 電腦視覺等進階功能。

快速入門：在 C# 中設定 IronTesseract 配置

本範例示範如何以特定設定配置 IronTesseract 並執行 OCR，只需一行程式碼即可完成。

如何建立 IronTesseract Instance？ <！--說明：顯示程式碼執行輸出或結果的截圖 --> 使用此代碼初始化 Tesseract 物件： ```csharp :path=/static-assets/ocr/content-code-examples/how-to/irontesseract-initialize-irontesseract.cs ``` 您可以自訂 `IronTesseract` 的行為，方法是選擇不同的語言、啟用條碼讀取功能，以及將字元列入白名單/黑名單。 IronOCR 提供全面的[設定選項](https://ironsoftware.com/csharp/ocr/examples/csharp-configure-setup-tesseract/)來微調您的 OCR 程序： ```csharp :path=/static-assets/ocr/content-code-examples/how-to/irontesseract-configure-irontesseract.cs ``` 配置完成後，您就可以使用 Tesseract 功能來讀取 `OcrInput` 物件。 [OcrInput 類別](https://ironsoftware.com/csharp/ocr/examples/csharp-ocr-input-for-iron-tesseract/)提供彈性的方法來載入各種輸入格式： ```csharp :path=/static-assets/ocr/content-code-examples/how-to/irontesseract-read.cs ``` 針對複雜的情境，您可以利用 [ 多執行緒功能](https://ironsoftware.com/csharp/ocr/examples/csharp-tesseract-multithreading-for-speed/) 來同時處理多個文件，大幅提升批次作業的效能。

什麼是進階 Tesseract 配置變數？ <！--說明：說明程式碼概念的圖表或截圖 --> IronOcr Tesseract 介面允許透過[IronOcr.TesseractConfiguration 類別](/csharp/ocr/object-reference/api/IronOcr.TesseractConfiguration.html)完全控制 Tesseract 配置變數。 這些進階設定可讓您針對特定使用個案最佳化 OCR 效能，例如[修正低品質掃描](https://ironsoftware.com/csharp/ocr/examples/ocr-low-quality-scans-tesseract/)或[讀取特定文件類型](https://ironsoftware.com/csharp/ocr/tutorials/read-specific-document/)。

如何在程式碼中使用 Tesseract 配置？ ```csharp :path=/static-assets/ocr/content-code-examples/how-to/irontesseract-tesseract-configuration.cs ``` IronOCR 還針對不同的文件類型提供了專門的配置。例如，當[讀取護照](https://ironsoftware.com/csharp/ocr/examples/read-passport/)或[處理 MICR 支票](https://ironsoftware.com/csharp/ocr/examples/read-micr-cheque/)時，您可以套用特定的預處理濾鏡和區域偵測，以提高精確度。 財務文件的配置範例： ```csharp // Example: Configure for financial documents IronTesseract ocr = new IronTesseract { Language = OcrLanguage.English, Configuration = new TesseractConfiguration { PageSegmentationMode = TesseractPageSegmentationMode.SingleBlock, TesseractVariables = new Dictionary { ["tessedit_char_whitelist"] = "0123456789.$,", ["textord_heavy_nr"] = false, ["edges_max_children_per_outline"] = 10 } } }; // Apply preprocessing filters for better accuracy using OcrInput input = new OcrInput(); input.LoadPdf("financial-document.pdf"); input.Deskew(); input.EnhanceResolution(300); OcrResult result = ocr.Read(input); ```

所有 Tesseract 設定變數的完整清單是什麼？ <！--說明：說明程式碼概念的圖表或截圖 --> 這些可以透過`IronTesseract.Configuration.TesseractVariables["key"] = value;`進行設定。 配置變數可讓您針對特定文件微調 OCR 行為，以獲得最佳效果。 如需有關最佳化 OCR 效能的詳細指導，請參閱我們的 [ 快速 OCR 配置指南](https://ironsoftware.com/csharp/ocr/examples/tune-tesseract-for-speed-in-dotnet/)。 0Use old baseline algorithm 0All doc is proportial text 0Debug on fixed pitch test 0Turn off dp fixed pitch algorithm 0Do even faster pitch algorithm 0Write full metric stuff 0Draw row-level cuts 0Draw page-level cuts 0Use correct answer for fixed/prop 0Attempt whole doc/block fixed pitch 0Display separate words 0Display separate words 0Display forced fixed pitch words 0Moan about prop blocks 0Moan about fixed pitch blocks 0Dump stats when moaning 0Do current test 0.08Fraction of xheight for sameness 0.5Max initial cluster size 0.15Min initial cluster spacing 0.25Fraction of xheight 0.75Fraction of xheight 0.6Allowed size variance 0.3Non-fuzzy spacing region 2.8Min ratio space/nonspace 2Min ratio space/nonspace 1.5Pitch IQR/Gap IQR threshold 0.2Xh fraction noise in pitch 0.5Min width of decent blobs 0.1Fraction of x to ignore 0Debug level for unichar ambiguities 0Classify debug level 1Normalization Method ... 0Matcher Debug Level 0Matcher Debug Flags 0Learning Debug Level: 1Min # of permanent classes 3Reliable Config Threshold 5Enable adaption even if the ambiguities have not been seen 230Threshold for good protos during adaptive 0-255 230Threshold for good features during adaptive 0-255 229Class Pruner Threshold 0-255 15Class Pruner Multiplier 0-255: 7Class Pruner CutoffStrength: 10Integer Matcher Multiplier 0-255: 0Set to 1 for general debug info, to 2 for more details, to 3 to see all the debug messages 0Debug level for hyphenated words. 2Size of dict word to be treated as non-dict word 0Stopper debug level 10Max words to keep in list 10000Maximum number of different character choices to consider during permutation. This limit is especially useful when user patterns are specified, since overly generic patterns can result in dawg search exploring an overly large number of options. 1Fix blobs that aren't chopped 0Chop debug 10000Split Length 2Same distance 6Min Number of Points on Outline 150Max number of seams in seam_pile -50Min Inside Angle Bend 2000Min Outline Area 90Width of (smaller) chopped blobs above which we don't care that a chop is not near the center. 3X / Y length weight 0Debug level for wordrec 4Max number of broken pieces to associate 0SegSearch debug level 2000Maximum number of pain points stored in the queue 0Language model debug level 8Maximum order of the character ngram model 10Maximum number of prunable (those for which PrunablePath() is true) entries in each viterbi list recorded in BLOB_CHOICEs 500Maximum size of viterbi lists recorded in BLOB_CHOICEs 3Minimum length of compound words 0Display Segmentations 6Page seg mode: 0=osd only, 1=auto+osd, 2=auto_only, 3=auto, 4=column, 5=block_vert, 6=block, 7=line, 8=word, 9=word_circle, 10=char,11=sparse_text, 12=sparse_text+osd, 13=raw_line (Values from PageSegMode enum in tesseract/publictypes.h) 2Which OCR engine(s) to run (Tesseract, LSTM, both). 預設s to loading and running the most accurate available. 0Whether to use the top-line splitting process for Devanagari documents while performing page-segmentation. 0Whether to use the top-line splitting process for Devanagari documents while performing ocr. 0Debug level for BiDi 1Debug level 0Page number to apply boxes from 0Amount of debug output for bigram correction. 0Debug reassignment of small outlines 8Max diacritics to apply to a blob 16Max diacritics to apply to a word 0Reestimate debug 2alphas in a good word 39Adaptation decision algorithm for tess 0Print multilang debug info. 0Print paragraph debug info. 2Only preserve wds longer than this 10For adj length in rating per ch 1How many potential indicators needed 4Don't crunch words with long lower case strings 4Don't crunch words with long lower case strings 3Crunch words with long repetitions 1How many non-noise blbs either side? 1What constitues done for spacing 0Contextual fixspace debug 8Max allowed deviation of blob top outside of font data 8Min change in xht before actually trying it 0Debug level for sub & superscript fixer 85Set JPEG quality level 0Specify DPI for input image 50Specify minimum characters to try during OSD 0Rejection algorithm 2Rej blbs near image edge limit 8Reject any x-ht lt or eq than this -1-1 -> All pages, else specific page to process 1Run in parallel where possible 2Allows to include alternative symbols choices in the hOCR output. Valid input values are 0, 1 and 2. 0 is the default value. With 1 the alternative symbol choices per timestep are included. With 2 alternative symbol choices are extracted from the CTC process instead of the lattice. The choices are mapped per character. 5Sets the number of cascading iterations for the Beamsearch in lstm_選擇模式. Note that lstm_選擇模式 must be set to a value greater than 0 to produce results. 0Debug data 3or should we use mean 10No.samples reqd to reestimate for row 40No.gaps reqd with 1 large gap to treat as a table 20No.gaps reqd with few cert spaces to use certs 1How to avoid being silly 7Pixel size of noise 0Baseline debug level 10Fraction of size for maxima 16Transitions for normal blob 1super norm blobs to save row 0Use ambigs for deciding whether to adapt to a character 0Prioritize blob division over chopping 1Enable adaptive classifier 0Character Normalized Matching 0Baseline Normalized Matching 1Enable adaptive classifier 0Use pre-adapted classifier templates 0Save adapted templates to a file 0Enable match debugger 0Non-linear stroke-density normalization 0Bring up graphical debugging windows for fragments training 0Use two different windows for debugging the matching: One for the protos and one for the features. 0Assume the input is numbers [0-9]. 1Load system word dawg. 1Load frequent word dawg. 1Load unambiguous word dawg. 1Load dawg with punctuation patterns. 1Load dawg with number patterns. 1Load dawg with special word bigrams. 0Use only the first UTF8 step of the given string when computing log probabilities. 0Make AcceptableChoice() always return false. Useful when there is a need to explore all segmentations 0Don't use any alphabetic-specific tricks. Set to true in the traineddata config file for scripts that are cursive or inherently fixed-pitch 0Save Document Words 1Merge the fragments in the ratings matrix and delete them after merging 1Associator Enable 0force associator to run regardless of what enable_assoc is. This is used for CJK where component grouping is necessary. 1Chop enable 0Vertical creep 1Use new seam_pile 0include fixed-pitch heuristics in char segmentation 0Only run OCR for words that had truth recorded in BlamerBundle 0Print blamer debug messages 0Try to set the blame for errors 1Save alternative paths found during chopping and segmentation search 1Words are delimited by space 0Use sigmoidal score for certainty 0Take segmentation and labeling from box file 0Conversion of word/line box file to char box file 0Generate training data from boxed chars 0Generate more boxes from boxed chars 0Break input into lines and remap boxes if present 0Dump intermediate images made during page segmentation 1Try inverting the image in LSTMRecognizeWord 0Perform training for ambiguities 0Generate and print debug information for adaption 0Learn both character fragments (as is done in the special low exposure mode) as well as unfragmented characters. 0Each bounding box is assumed to contain ngrams. Only learn the ngrams whose outlines overlap horizontally. 0Draw output words 0Dump char choices 0Print timing stats 1Try to improve fuzzy spaces 0Don't bother with word plausibility 1Crunch double hyphens? 1Add words to the document dictionary 0Output font info per char 0Block and Row stats 1Enable correction based on the word bigram dictionary. 0Enable single word correction based on the dictionary. 1Remove and conditionally reassign small outlines when they confuse layout analysis, determining diacritics vs noise 0Do minimal rejection on pass 1 output 0Test adaption criteria 0Test for point 1Run paragraph detection on the post-text-recognition (more accurate) 1Use ratings matrix/beam search with lstm 1Reduce rejection on good docs 1Reject spaces? 0Add font info to hocr output 0Add coordinates for each character to hocr output 1Before word crunch? 0Take out ~^ early? 1As it says 1Don't touch sensible strings 0Use dictword test 1Individual rejection control 1Individual rejection control 1Individual rejection control 0Extend permuter check 0Extend permuter check 0Output text with boxes 0Capture the image from the IPE 0Run interactively? 1According to dict_word 0In multilingual mode use params model of the primary language 0Debug line finding 0Use CJK fixed pitch model 0Allow feature extractors to see the original outline 0Only initialize with the config file. Useful if the instance is not going to be used for OCR but say only for layout analysis. 0Turn on equation detector 1Enable vertical detection 0Force using vertical text page mode 0Preserve multiple interword spaces 1Detect music staff and remove intersecting components 0Script has no xheight, so use a single mode 0Space stats use prechopping? 0Constrain relative values of inter and intra-word gaps for old_to_method. 1Block stats to use fixed pitch rows? 0Force word breaks on punct to break long lines in non-space delimited langs 0Space stats use prechopping? 0Fix suspected bug in old code 1Only stat OBVIOUS spaces 1Only stat OBVIOUS spaces 1Only stat OBVIOUS spaces 1Only stat OBVIOUS spaces 1Use row alone when inadequate cert spaces 0Better guess 0Pass ANY flip to context? 1Don't restrict kn->sp fuzzy limit to tables 0Don't remove noise blobs 0Display unsorted blobs 0Display unsorted blobs 1Reject noise-like words 1Reject noise-like rows 0Debug row garbage detector Class str to debug learning A filename of user-provided words. A suffix of user-provided words located in tessdata. A filename of user-provided patterns. A suffix of user-provided patterns located in tessdata. Output file for ambiguities found in the dictionary Word for which stopper debug information should be printed to stdout Blacklist of chars not to recognize Whitelist of chars to recognize List of chars to override tessedit_char_blacklist .expExposure value follows this pattern in the image filename. The name of the image files are expected to be in the form [lang].[fontname].exp [num].tif 前導標點).,;:?!1st Trailing punctuation 2nd Trailing punctuationPage separator (default is form feed control character) 0.2Character Normalization Range ... 1.5Veto ratio between classifier ratings 5.5Veto difference between classifier certainties 0.125Good Match (0-1) 0Great Match (0-1) 0.02Perfect Match (0-1) 0.15Bad Match Pad (0-1) 0.1New template margin (0-1) 12Avg. noise blob length 0.015Maximum angle delta for prototype clustering 0Penalty to apply when a non-alnum is vertically out of its expected textline position 1.5Rating scaling factor 20Certainty scaling factor 0.00390625Scale factor for features not used 2.5Prune poor adapted results this much worse than best result -1Threshold at which 分類適應剪枝因子 starts -3Exclude fragments that do not look like whole characters from training and adaption 0.3Max large speckle size 10Penalty to add to worst rating for noise 0.125Score penalty (0.1 = 10%) added if there are subscripts or superscripts in a word, but it is otherwise OK. 0.25Score penalty (0.1 = 10%) added if an xheight is inconsistent. 1Score multiplier for word matches which have good case and are frequent in the given language (lower is better). 1.1Score multiplier for word matches that have good case (lower is better). 1.3125預設 score multiplier for word matches, which may have case issues (lower is better). 1.25Score multiplier for glyph fragment segmentations which do not match a dictionary word (lower is better). -2.25Worst certainty for words that can be inserted into the document dictionary -2.25Good blob limit 2最大字元寬高比

Tesseract 配置變數	預設	意義
分類_num_cp_levels	3	類別剪枝器等級數
textord_debug_tabfind	0	調試選項卡查找
textord_debug_bugs	0	啟用與製表符查找錯誤相關的輸出
textord_testregion_left	-1	調試報告矩形的左邊緣
textord_testregion_top	-1	調試報告矩形的頂部邊緣
textord_testregion_right	2147483647	調試矩形的右邊緣
textord_testregion_bottom	2147483647	調試矩形的底部邊緣
textord_tabfind_show_partitions	0	顯示分區邊界，如果大於 1 則等待。
devanagari_split_debuglevel	0	拆分 shiro-rekha 進程的調試等級。
edges_max_children_per_outline	10	角色輪廓內子角色的最大數量
邊緣_max_children_layer	5	角色輪廓內嵌套子角色的最大層數
每個孫子的邊緣子節點	10	拋擲輪廓的重要性比率
邊緣_子數限制	45	斑點中允許的最大孔數
邊緣_min_nonhole	12	方框內潛在字元的最小像素
邊緣路徑面積比率	40	Max lensq/area for acceptable child outline
textord_fp_chop_error	2	最大允許的切割單元彎曲度
textord_tabfind_show_images	0	Show image blobs
textord_skewsmooth_offset	4	對於平滑因子
textord_skewsmooth_offset2	1	對於平滑因子
textord_test_x	-2147483647	測試點座標
textord_test_y	-2147483647	測試點座標
textword_min_blobs_in_row	4	梯度計數前的最小斑點數
textord_spline_minblobs	8	Min blobs in each spline segment
textord_spline_medianwin	6	Size of window for spline segmentation
textord_max_blob_overlaps	4	Max number of blobs a big blob can overlap
textord_min_xheight	10	Min credible pixel xheight
textord_lms_line_trials	12	Number of linew fits to do
oldbl_holed_losscount	10	Max lost before fallback line used
pitsync_linear_version	6	Use new fast algorithm
pitsync_fake_depth	1	Max advance fake generation
textord_tabfind_show_strokewidths	0	Show stroke widths
textord_dotmatrix_gap	3	Max pixel gap for broken pixed pitch
textord_debug_block	0	Block to do debug on
文字音調範圍	2	Max range test on pitch
textord_words_veto_power	5	Rows required to outvote a veto
equationdetect_save_bi_image	0	Save input bi image
equationdetect_save_spt_image	0	Save special character image
方程式檢測保存種子影像	0	Save the seed image
方程式檢測保存合併影像	0	Save the merged image
poly_debug	0	Debug old poly
poly_wide_objects_better	1	More accurate approx on wide things
wordrec_display_splits	0	Display splits
textord_debug_printable	0	Make debug windows printable
textord_space_size_is_variable	0	If true, word delimiter spaces are assumed to have variable width, even though characters have fixed pitch.
textord_tabfind_show_initial_partitions	0	Show partition bounds
textord_tabfind_show_reject_blobs	0	Show blobs rejected as noise
textord_tabfind_show_columns	0	Show column bounds
textord_tabfind_show_blocks	0	Show final block bounds
textord_tabfind_find_tables	1	run table detection
devanagari_split_debugimage	0	Whether to create a debug image for split shiro-rekha process.
textord_show_fixed_cuts	0	Draw fixed pitch cell boundaries
邊緣使用新的輪廓複雜性	0	Use the new outline complexity module
邊緣調試	0	turn on debugging for this module
邊緣_children_fix	0	Remove boxy parents of char-like children
gapmap_debug	0	Say which blocks have tables
gapmap_use_ends	0	Use large space at start and end of rows
gapmap_noo_isolated_quanta	0	Ensure gaps not less than 2quanta wide
textord_heavy_nr	0	Vigorously remove noise
textord_show_initial_rows	0	Display row accumulation
textord_show_parallel_rows	0	Display page correlated rows
textord_show_expanded_rows	0	Display rows after expanding
textord_show_final_rows	0	Display rows after final fitting
textord_show_final_blobs	Display blob bounds after pre-ass
textord_test_landscape	0	Tests refer to land/port
textord_parallel_baselines	1	Force parallel baselines
textord_straight_baselines	0	Force straight baselines
textord_old_baselines	1
textord_old_xheight	0	Use old xheight algorithm
textord_fix_xheight_bug	1	Use spline baseline
textord_fix_makerow_bug	1	Prevent multiple baselines
textord_debug_xheights	0	Test xheight algorithms
textord_biased_skewcalc	1	Bias skew estimates with line length
textord_interpolating_skew	1	Interpolate across gaps
textord_new_initial_xheight	1	Use test xheight mechanism
textord_debug_blob	0	Print test blob information
textord_really_old_xheight	0	Use original wiseowl xheight
textord_oldbl_debug	0	Debug old baseline generation
textord_debug_baselines	0	Debug baseline generation
textord_oldbl_paradef	1	Use para default mechanism
textord_oldbl_split_splines	1	Split stepped splines
textord_oldbl_merge_parts	1	Merge suspect partitions
oldbl_corrfix	1	Improve correlation of heights
oldbl_xhfix	0	Fix bug in modes threshold for xheights
textord_ocropus_mode	0	Make baselines for ocropus
textord_tabfind_only_strokewidths	0	Only run stroke widths
textord_tabfind_show_initialtabs	0	Show tab candidates
textord_tabfind_show_finaltabs	0	Show tab vectors
textord_show_tables	0	Show table regions
textord_tablefind_show_mark	0	Debug table marking steps in detail
textord_tablefind_show_stats	0	Show page stats used in table finding
textord_tablefind_recognize_tables	0	Enables the table recognizer for table layout and filtering.
textord_all_prop
textord_debug_pitch_test
textord_disable_pitch_test
textord_fast_pitch_test
textord_debug_pitch_metric
textord_show_row_cuts
textord_show_page_cuts
textord_pitch_cheat
textord_blockndoc_fixed
textord_show_initial_words
textord_show_new_words
textord_show_fixed_words
textord_blocksall_fixed
textord_blocksall_prop
textord_blocksall_testing
文字測試模式
textord_pitch_rowsimilarity
字首下
詞彙
字詞_預設_prop_nonspace
words_default_fixed_space
預設字數限制
textord_words_definite_spread
textord_spacesize_ratiofp
textord_spacesize_ratioprop
textord_fpiqr_ratio
textord_max_pitch_iqr
textord_fp_min_width
textord_underline_offset
ambigs_debug_level
分類調試級別
分類規範方法
匹配器調試級別
匹配器調試標誌
分類學習調試級別
matcher_permanent_classes_min
matcher_min_examples_for_prototyping
用於原型設計的充分範例匹配器
分類_適應_原型_閾值
分類_適應_特徵_閾值
分類剪枝器閾值
分類剪枝乘數
分類_cp_截止強度
分類整數匹配器乘數
dawg_debug_level
hyphen_debug_level
小字體大小
stopper_debug_level
tessedit_truncate_wordchoice_log
最大置換嘗試次數
修復未切碎的斑點
chop_debug
分割長度
相同距離
砍伐最小輪廓點
剪縫絨毛尺寸
切內角
砍掉最小輪廓區域
截斷居中最大寬度
砍伐 x 和 y 重量
wordrec_debug_level
wordrec_max_join_chunks
segsearch_debug_level
segsearch_max_pain_points
segsearch_max_futile_classifications20Maximum number of pain point classifications per chunk that did not result in finding a better word choice.
語言_模型_debug_level
語言模型_ngram_order
language_model_viterbi_list_max_num_prunable
語言_模型_viterbi_list_max_size
語言_模型_最小複合長度
wordrec_display_segmentations
tessedit_pageseg_mode
tessedit_ocr_engine_mode
頁面eg_devanagari_split_strategy
ocr_devanagari_split_strategy
雙向除錯
applybox_debug
applybox_page
tessedit_bigram_debug
調試噪音消除
噪音最大值
噪音_詞彙
debug_x_ht_level
quality_min_initial_alphas_reqd
tessedit_tess_adaption_mode
多語言調試級別
段落調試級別
tessedit_preserve_min_wd_len
crunch_rating_max
crunch_pot_indicators
crunch_leave_lc_strings
crunch_leave_uc_strings
長時間重複訓練
crunch_debug0As it says
fixsp_non_noise_limit
fixsp_done_mode
調試修復空間級別
x_ht_acceptance_tolerance
x_ht_min_change
上標調試
jpg_質量
使用者自訂DPI
最小字元數
suspect_level99Suspect marker level
suspect_short_words2Don't suspect dict wds longer than this
tessedit_reject_mode
tessedit_image_border
最小正常 x 高度像素
tessedit_page_number
tessedit_parallelize
lstm_選擇模式
lstm_choice_iterations
tosp_debug_level
tosp_enough_space_samples_for_median
tosp_redo_kern_limit
tosp_few_samples
tosp_短行
tosp_sanity_method
textord_max_noise_size
textord_baseline_debug
textord_noise_sizefraction
textord_noise_translimit
textord_noise_sncount
使用歧義進行適應
優先劃分
分類啟用學習
tess_cn_matching
tess_bn_matching
啟用自適應匹配器
分類_使用_預先調整的模板
分類_儲存_已適配模板
啟用自適應調試器
分類非線性範數
disable_character_fragments1Do not include character fragments in the results of the classifier
分類除錯字元片段
Matcher_debug_separate_windows
分類_bln_numeric_mode
載入系統狗
載入頻率_dawg
載入無歧義的狗
載入_punc_dawg
載入編號_dawg
加載雙字母狗
只使用第一個 uft8_step
stopper_no_acceptable_choices
段非字母腳本
儲存文件
合併矩陣中的片段
wordrec_enable_assoc
force_word_assoc
啟用
垂直爬行
砍新縫堆
假設固定音高字符段
wordrec_skip_noo_truth_words
wordrec_debug_blamer
wordrec_run_blamer
儲存備選方案
language_model_ngram_on0Turn on/off the use of character ngram model
language_model_ngram_use_ only_first_uft8_step0Use only the first UTF8 step of the given string when computing log probabilities.
language_model_ngram_space_delimited_language
語言_模型_使用_σmoidal_確定性
tessedit_resegment_from_boxes
tessedit_resegment_from_line_boxes
tessedit_train_from_boxes
tessedit_make_boxes_from_boxes
tessedit_train_line_recognizer
tessedit_dump_pageseg_images
tessedit_doo_invert
tessedit_ambigs_training
tessedit_adaption_debug
applybox_learn_chars_and_char_frags_mode
applybox_learn_ngrams_mode
tessedit_display_outwords
tessedit_dump_choices
tessedit_timing_debug
tessedit_fix_fuzzy_spaces
tessedit_unrej_any_wd
tessedit_fix_hyphens
tessedit_enable_doc_dict
tessedit_debug_fonts
tessedit_debug_block_rejection
tessedit_enable_bigram_correction
tessedit_enable_dict_correction
啟用降噪
tessedit_minimal_rej_pass1
tessedit_test_adaptation
測試點
基於段落文本
lstm_use_matrix
tessedit_good_quality_unrej
tessedit_use_reject_spaces
tessedit_preserve_blk_rej_perfect_wds1Only rej partially rejected words in block rejection
tessedit_preserve_row_rej_perfect_wds1Only rej partially rejected words in row rejection
tessedit_dont_blkrej_good_wds0Use word segmentation quality metric
tessedit_dont_rowrej_good_wds0Use word segmentation quality metric
tessedit_row_rej_good_docs1Apply row rejection to good docs
tessedit_reject_bad_qual_wds1Reject all bad quality wds
tessedit_debug_doc_rejection0Page stats
tessedit_debug_quality_metrics0Output data to debug file
bland_unrej0unrej potential with no checks
unlv_tilde_crunching0Mark v.bad words for tilde crunch
字型資訊
字元
crunch_early_merge_tess_fails
crunch_early_convert_bad_unlv_chs
crunch_terrible_garbage
crunch_leave_ok_strings
crunch_accept_ok1Use acceptability in okstring
crunch_leave_accept_strings0Don't pot crunch sensible strings
crunch_include_numerals0Fiddle alpha figures
tessedit_prefer_joined_punct0Reward punctuation joins
tessedit_write_block_separators0Write block separators in output
tessedit_write_rep_codes0Write repetition char code
tessedit_write_unlv0Write .unlv output file
tessedit_create_txt0Write .txt output file
tessedit_create_hocr0Write .html hOCR output file
tessedit_create_alto0Write .xml ALTO file
tessedit_create_lstmbox0Write .box file for LSTM training
tessedit_create_tsv0Write .tsv output file
tessedit_create_wordstrbox0Write WordStr format .box output file
tessedit_create_pdf0Write .pdf output file
textonly_pdf0Create PDF with only one invisible text layer
suspect_constrain_1Il0UNLV keep 1Il chars rejected
tessedit_minimal_rejection0Only reject tess failures
tessedit_zero_rejection0Don't reject ANYTHING
tessedit_word_for_word0Make output have exactly one word per WERD
tessedit_zero_kelvin_rejection0Don't reject ANYTHING AT ALL
tessedit_rejection_debug0Adaption debug
tessedit_flip_0O1Contextual 0O O0 flips
rej_trust_doc_dawg0Use DOC dawg in 11l conf. detector
rej_1Il_use_dict_word
rej_1Il_trust_permuter_type1Don't double check
rej_use_tess_accepted
rej_use_tess_blanks
使用優點
rej_use_sensible_wd
rej_alphas_in_number_perm
tessedit_create_boxfile
tessedit_write_images
互動式顯示模式
tessedit_override_permuter
tessedit_use_primary_params_model
textord_tabfind_show_vlines
textord_use_cjk_fp_model
poly_allow_detailed_fx
tessedit_init_config_only
textord_equation_detect
textord_tabfind_vertical_text
textord_tabfind_force_vertical_text
保留詞間空格
分頁seg_apply_music_mask
textord_single_height_mode
tosp_old_too_method
tosp_old_too_constrain_sp_kn
tosp_only_use_prop_rows
tosp_force_wordbreak_on_punct
tosp_use_pre_chopping
tosp_old_too_bug_fix
tosp_block_use_cert_spaces
tosp_row_use_cert_spaces
tosp_narrow_blobs_not_cert
tosp_row_use_cert_spaces1
tosp_recovery_isolated_row_stats
tosp_only_small_gaps_for_kern
tosp_all_flips_fuzzy
tosp_fuzzy_limit_all
textord_no_rejects
textord_show_blobs
textord_show_boxes
textord_noise_rejwords
textord_noise_rejrows
textord_noise_debug
classify_learn_debug_str
使用者單字文件
用戶詞後綴
使用者模式文件
使用者模式後綴
輸出歧義詞文件
待調試單字
tessedit_char_blacklist
tessedit_char_whitelist
tessedit_char_unblacklist
tessedit_write_params_to_fileWrite all parameters to the given file.
應用框曝光模式
chs_leading_punct('`"
chs_trailing_punct1
chs_trailing_punct2)'`"
輪廓_奇特	%|	非標準數量的輪廓
outlines_2ij!?%":;	非標準數量的輪廓
數位標點符號	.,	Punct. chs expected WITHIN numbers
未識別的字符	|	Output char for unidentified blobs
ok_repeated_ch_non_alphanum_wds	-?*=	Allow NN to unrej
衝突集 I_l_1	Il1 []	Il1 conflict set
文件類型	.tif	Filename extension
tessedit_load_sublangs	List of languages to load with this one
頁面分隔符
分類字元規範範圍
分類最高評分率
分類最大確定性邊際
匹配器_良好閾值
匹配器可靠自適應結果
匹配器完美閾值
matcher_bad_match_pad
匹配器評分差距
匹配器平均雜訊大小
匹配器聚類最大角度變化
分類不合格垃圾懲罰
評分量表
確定性規模
tessedit_class_miss_scale
分類適應剪枝因子
分類適應剪枝閾值
分類字元片段垃圾確定性閾值
斑點大尺寸
斑點評級懲罰
x高度懲罰下標
x高度懲罰不一致
詞段懲罰字典_常用詞
segment_penalty_dict_case_ok
segment_penalty_dict_case_bad
segment_penalty_dict_nonword
確定性規模20Certainty scaling factor
stopper_nondict_certainty_base-2.5Certainty threshold for non-dict words
stopper_phase2_certainty_rejection_offset1Reject certainty offset
stopper_certainty_per_char-0.5Certainty to add for each dict char above small word size.
stopper_allowable_character_badness3Max certaintly variation allowed in a word (in sigma)
doc_dict_pending_threshold0Worst certainty for using pending dictionary
doc_dict_certainty_threshold
tessedit_certainty_threshold
chop_split_dist_knob0.5Split length adjustment
chop_overlap_knob0.9Split overlap adjustment
chop_center_knob0.15Split center adjustment
chop_sharpness_knob0.06Split sharpness adjustment
chop_width_change_knob5Width change adjustment
chop_ok_split100OK split limit
chop_good_split50Good split limit
segsearch_max_char_wh_ratio

為達到最佳效果，建議在套用 OCR 之前使用 IronOCR 的 [ 影像預處理篩選器](https://ironsoftware.com/csharp/ocr/examples/ocr-image-filters-for-net-tesseract/)。 這些篩選器可以大幅提高精確度，尤其是在處理 [ 低品質掃描](https://ironsoftware.com/csharp/ocr/examples/ocr-low-quality-scans-tesseract/)或複雜文件（如 [ 表格](https://ironsoftware.com/csharp/ocr/examples/read-table-in-document/)）時。