识别对比
1、百度识别
发现百度的图片搜索识别率不是特别，下面为测试图片跟测试后的结果：
测试图片：
下面为测试后的结果：
2、采用 tesseract.js 后结果
H5 图像识别 （采用Tesseract.js 进行识别）
简单的文案之类的，识别的还算可以，但是稍微复杂点的，准确率就不是那么好了，在学习中。。。
安装
<script src='https://cdn.rawgit.com/naptha/tesseract.js/1.0.10/dist/tesseract.js'></script>
或者
npm install tesseract.js –save
PS：如果使用 npm 安装异常，可以使用 cnpm 进行安装使用
使用
demo 1：then使用
var Tesseract = require('tesseract.js')Tesseract.recognize(myImage).then(function(result){ console.log(result)})
demo 2：lang切换
Tesseract.recognize(myImage, { lang: 'spa', tessedit_char_blacklist: 'e'}).then(function(result){ console.log(result)})
demo 3：（then、progress、catch、then、finally）
Tesseract.recognize(src, { lang:"chi_sim", }) .progress(function(message) { console.log(message) }) .catch(function(err) { console.error(err) }) .then(function(result) { console.log(result.text) }) .finally(function(resultOrError) { console.log(resultOrError) })
参数介绍：
1、image是任何 参数介绍：
image是任何 ImageLike 对象，取决于它是从浏览器还是通过NodeJS运行。
第一个参数，可以是 img 路劲地址，可以是图片base64位的二进制码、也可以是Image对象 等。
附上实现的代码：
<!DOCTYPE html><html> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width,initial-scale=1,shrink-to-fit=no,user-scalable=no,minimum-scale=1,maximum-scale=1"> <title>图片识别</title> <style>body{margin:0 auto;width:500px;font-size:12px;font-family:"arial, helvetica, sans-serif"}fieldset{margin-bottom:10%;border:1px solid #ddd;border-radius:5px}img,select,button{cursor:pointer}img{background:#ddd}h2{font-weight:500;font-size:16px}fieldset legend{margin-left:33%}</style> </head> <body> <fieldset> <legend> <h2> 图片识别前 </h2> </legend> 选择文件：<img src="img/1.png" title="图片" /> <p> 选择语言： <select id="langsel" onchange="recognizeFile()"> <option value='afr'> 南非荷兰语（Afrikaans） </option> <option value='ara'> 阿拉伯 （Arabic）</option> <option value='aze'> 阿塞拜疆 （Azerbaijani） </option> <option value='bel'> 白俄罗斯（美式：Belarusian） </option> <option value='ben'> 孟加拉（Bengali） </option> <option value='bul'> 保加利亚语（Bulgarian） </option> <option value='cat'> 西班牙 （Catalan）</option> <option value='ces'> 捷克（Czech） </option> <option value='chi_sim' selected> 中文（Chinese） </option> <option value='chi_tra'> 繁体中文（Traditional Chinese） </option> <option value='chr'> Cherokee </option> <option value='dan'> 丹麦语（Danish） </option> <option value='deu'> 德语（German） </option> <option value='ell'> 希腊语（Greek） </option> <option value='eng'> 英语（English） </option> <option value='enm'> 英文（老）（English (Old)） </option> <option value='meme'> Internet Meme </option> <option value='epo'> Esperanto </option> <option value='epo_alt'> （Esperanto alternative）</option> <option value='equ'> Math </option> <option value='est'> Estonian </option> <option value='eus'> 爱沙尼亚语（Basque） </option> <option value='fin'> （Finnish） </option> <option value='fra'> 芬兰（French） </option> <option value='frk'> Frankish </option> <option value='frm'> 法语（老）（French (Old)） </option> <option value='glg'> 加利西亚（Galician） </option> <option value='grc'> Ancient Greek </option> <option value='heb'> Hebrew </option> <option value='hin'> Hindi </option> <option value='hrv'> Croatian </option> <option value='hun'> Hungarian </option> <option value='ind'> Indonesian </option> <option value='isl'> Icelandic </option> <option value='ita'> 意大利（Italian） </option> <option value='ita_old'> 意大利语（老）（Italian (Old)） </option> <option value='jpn'> 日本（Japanese） </option> <option value='kan'> Kannada </option> <option value='kor'> 朝鲜的（Korean） </option> <option value='lav'> Latvian </option> <option value='lit'> Lithuanian </option> <option value='mal'> Malayalam </option> <option value='mkd'> Macedonian </option> <option value='mlt'> Maltese </option> <option value='msa'> Malay </option> <option value='nld'> Dutch </option> <option value='nor'> Norwegian </option> <option value='pol'> Polish </option> <option value='por'> 葡萄牙语（Portuguese） </option> <option value='ron'> Romanian </option> <option value='rus'> 俄语（Russian） </option> <option value='slk'> Slovakian </option> <option value='slv'> Slovenian </option> <option value='spa'> 西班牙语（Spanish） </option> <option value='spa_old'>老西班牙语 （Old Spanish） </option> <option value='sqi'> Albanian </option> <option value='srp'> 塞尔维亚语（拉丁语）（Serbian (Latin)） </option> <option value='swa'> Swahili </option> <option value='swe'> Swedish </option> <option value='tam'> Tamil </option> <option value='tel'> Telugu </option> <option value='tgl'> Tagalog </option> <option value='tha'> 泰国（Thai） </option> <option value='tur'> 土耳其（Turkish） </option> <option value='ukr'> 乌克兰（乌克兰） </option> <option value='vie'> 越南（Vietnamese） </option> </select> </p> <p align="center"> <button onclick="btn()">执行</button> </p> </fieldset> <fieldset> <legend> <h2> 输出结果 </h2> </legend> <div id="result"></div> </fieldset> </body> <script src='img/tesseract.js'></script> <script> var src = document.querySelector("img").src, selectOption = "", result = document.querySelector("#result"); function recognizeFile() { var select = document.querySelector("#langsel") selectOption = select.options[select.selectedIndex].value; } function btn() { Tesseract.recognize(src, { lang: selectOption ? selectOption : "chi_sim", }).progress(function(message) { console.log(message) }) .catch(function(err) { result.innerHTML = err; console.error(err) }) .then(function(result) { console.log(result.text) result.value = result.text; }) .finally(function(resultOrError) { result.innerHTML = resultOrError.value; console.log(resultOrError) }) } </script></html>
2、语言支持介绍：
lang | Language | ‘afr’ Afrikaans ‘ara’ Arabic ‘aze’ Azerbaijani ‘bel’ Belarusian ‘ben’ Bengali ‘bul’ Bulgarian ‘cat’ Catalan ‘ces’ Czech ‘chi_sim’ Chinese ‘chi_tra’ Traditional Chinese ‘chr’ Cherokee ‘dan’ Danish ‘deu’ German ‘ell’ Greek ‘eng’ English ‘enm’ English (Old) ‘epo’ Esperanto ‘epo_alt’ Esperanto alternative ‘equ’ Math ‘est’ Estonian ‘eus’ Basque ‘fin’ Finnish ‘fra’ French ‘frk’ Frankish ‘frm’ French (Old) ‘glg’ Galician ‘grc’ Ancient Greek ‘heb’ Hebrew ‘hin’ Hindi ‘hrv’ Croatian ‘hun’ Hungarian ‘ind’ Indonesian ‘isl’ Icelandic ‘ita’ Italian ‘ita_old’ Italian (Old) ‘jpn’ Japanese ‘kan’ Kannada ‘kor’ Korean ‘lav’ Latvian ‘lit’ Lithuanian ‘mal’ Malayalam ‘mkd’ Macedonian ‘mlt’ Maltese ‘msa’ Malay ‘nld’ Dutch ‘nor’ Norwegian ‘pol’ Polish ‘por’ Portuguese ‘ron’ Romanian ‘rus’ Russian ‘slk’ Slovakian ‘slv’ Slovenian ‘spa’ Spanish ‘spa_old’ Old Spanish ‘sqi’ Albanian ‘srp’ Serbian (Latin) ‘swa’ Swahili ‘swe’ Swedish ‘tam’ Tamil ‘tel’ Telugu ‘tgl’ Tagalog ‘tha’ Thai ‘tur’ Turkish ‘ukr’ Ukrainian ‘vie’ Vietnamese
Tesseract参数支持介绍：
Parameter | Default Value | Description | ambigs_debug_level 0 Debug level for unichar ambiguities applybox_debug 1 Debug level applybox_exposure_pattern .exp Exposure 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 applybox_learn_chars_and_char_frags_mode 0 Learn both character fragments (as is done in the special low exposure mode) as well as unfragmented characters. applybox_learn_ngrams_mode 0 Each bounding box is assumed to contain ngrams. Only learn the ngrams whose outlines overlap horizontally. applybox_page 0 Page number to apply boxes from assume_fixed_pitch_char_segment 0 include fixed-pitch heuristics in char segmentation bestrate_pruning_factor 2 Multiplying factor of current best rate to prune other hypotheses bidi_debug 0 Debug level for BiDi bland_unrej 0 unrej potential with no chekcs certainty_scale 20 Certainty scaling factor certainty_scale 20 Certainty scaling factor chop_center_knob 0.15 Split center adjustment chop_centered_maxwidth 90 Width of (smaller) chopped blobs above which we don’t care that a chop is not near the center. chop_debug 0 Chop debug chop_enable 1 Chop enable chop_good_split 50 Good split limit chop_inside_angle -50 Min Inside Angle Bend chop_min_outline_area 2000 Min Outline Area chop_min_outline_points 6 Min Number of Points on Outline chop_new_seam_pile 1 Use new seam_pile chop_ok_split 100 OK split limit chop_overlap_knob 0.9 Split overlap adjustment chop_same_distance 2 Same distance chop_seam_pile_size 150 Max number of seams in seam_pile chop_sharpness_knob 0.06 Split sharpness adjustment chop_split_dist_knob 0.5 Split length adjustment chop_split_length 10000 Split Length chop_vertical_creep 0 Vertical creep chop_width_change_knob 5 Width change adjustment chop_x_y_weight 3 X / Y length weight chs_leading_punct (‘`” Leading punctuation chs_trailing_punct1 ).,;:?! 1st Trailing punctuation chs_trailing_punct2 )’`” 2nd Trailing punctuation classify_adapt_feature_threshold 230 Threshold for good features during adaptive 0-255 classify_adapt_proto_threshold 230 Threshold for good protos during adaptive 0-255 classify_adapted_pruning_factor 2.5 Prune poor adapted results this much worse than best result classify_adapted_pruning_threshold -1 Threshold at which classify_adapted_pruning_factor starts classify_bln_numeric_mode 0 Assume the input is numbers [0-9]. classify_char_norm_range 0.2 Character Normalization Range … classify_character_fragments_garbage_certainty_threshold -3 Exclude fragments that do not look like whole characters from training and adaption classify_class_pruner_multiplier 15 Class Pruner Multiplier 0-255: classify_class_pruner_threshold 229 Class Pruner Threshold 0-255 classify_cp_angle_pad_loose 45 Class Pruner Angle Pad Loose classify_cp_angle_pad_medium 20 Class Pruner Angle Pad Medium classify_cp_angle_pad_tight 10 CLass Pruner Angle Pad Tight classify_cp_cutoff_strength 7 Class Pruner CutoffStrength: classify_cp_end_pad_loose 0.5 Class Pruner End Pad Loose classify_cp_end_pad_medium 0.5 Class Pruner End Pad Medium classify_cp_end_pad_tight 0.5 Class Pruner End Pad Tight classify_cp_side_pad_loose 2.5 Class Pruner Side Pad Loose classify_cp_side_pad_medium 1.2 Class Pruner Side Pad Medium classify_cp_side_pad_tight 0.6 Class Pruner Side Pad Tight classify_debug_character_fragments 0 Bring up graphical debugging windows for fragments training classify_debug_level 0 Classify debug level classify_enable_adaptive_debugger 0 Enable match debugger classify_enable_adaptive_matcher 1 Enable adaptive classifier classify_enable_learning 1 Enable adaptive classifier classify_font_name UnknownFont Default font name to be used in training classify_integer_matcher_multiplier 10 Integer Matcher Multiplier 0-255: classify_learn_debug_str Class str to debug learning classify_learning_debug_level 0 Learning Debug Level: classify_max_certainty_margin 5.5 Veto difference between classifier certainties classify_max_norm_scale_x 0.325 Max char x-norm scale … classify_max_norm_scale_y 0.325 Max char y-norm scale … classify_max_rating_ratio 1.5 Veto ratio between classifier ratings classify_max_slope 2.41421 Slope above which lines are called vertical classify_min_norm_scale_x 0 Min char x-norm scale … classify_min_norm_scale_y 0 Min char y-norm scale … classify_min_slope 0.414214 Slope below which lines are called horizontal classify_misfit_junk_penalty 0 Penalty to apply when a non-alnum is vertically out of its expected textline position classify_nonlinear_norm 0 Non-linear stroke-density normalization classify_norm_adj_curl 2 Norm adjust curl … classify_norm_adj_midpoint 32 Norm adjust midpoint … classify_norm_method 1 Normalization Method … classify_num_cp_levels 3 Number of Class Pruner Levels classify_pico_feature_length 0.05 Pico Feature Length classify_pp_angle_pad 45 Proto Pruner Angle Pad classify_pp_end_pad 0.5 Proto Prune End Pad classify_pp_side_pad 2.5 Proto Pruner Side Pad classify_save_adapted_templates 0 Save adapted templates to a file classify_training_file MicroFeatures Training file classify_use_pre_adapted_templates 0 Use pre-adapted classifier templates conflict_set_I_l_1 Il1[] Il1 conflict set crunch_accept_ok 1 Use acceptability in okstring crunch_debug 0 As it says crunch_del_cert -10 POTENTIAL crunch cert lt this crunch_del_high_word 1.5 Del if word gt xht x this above bl crunch_del_low_word 0.5 Del if word gt xht x this below bl crunch_del_max_ht 3 Del if word ht gt xht x this crunch_del_min_ht 0.7 Del if word ht lt xht x this crunch_del_min_width 3 Del if word width lt xht x this crunch_del_rating 60 POTENTIAL crunch rating lt this crunch_early_convert_bad_unlv_chs 0 Take out ~^ early? crunch_early_merge_tess_fails 1 Before word crunch? crunch_include_numerals 0 Fiddle alpha figures crunch_leave_accept_strings 0 Dont pot crunch sensible strings crunch_leave_lc_strings 4 Dont crunch words with long lower case strings crunch_leave_ok_strings 1 Dont touch sensible strings crunch_leave_uc_strings 4 Dont crunch words with long lower case strings crunch_long_repetitions 3 Crunch words with long repetitions crunch_poor_garbage_cert -9 crunch garbage cert lt this crunch_poor_garbage_rate 60 crunch garbage rating lt this crunch_pot_garbage 1 POTENTIAL crunch garbage crunch_pot_indicators 1 How many potential indicators needed crunch_pot_poor_cert -8 POTENTIAL crunch cert lt this crunch_pot_poor_rate 40 POTENTIAL crunch rating lt this crunch_rating_max 10 For adj length in rating per ch crunch_small_outlines_size 0.6 Small if lt xht x this crunch_terrible_garbage 1 As it says crunch_terrible_rating 80 crunch rating lt this cube_debug_level 0 Print cube debug info. dawg_debug_level 0 Set to 1 for general debug info, to 2 for more details, to 3 to see all the debug messages debug_acceptable_wds 0 Dump word pass/fail chk debug_file File to send tprintf output to debug_fix_space_level 0 Contextual fixspace debug debug_noise_removal 0 Debug reassignment of small outlines debug_x_ht_level 0 Reestimate debug devanagari_split_debugimage 0 Whether to create a debug image for split shiro-rekha process. devanagari_split_debuglevel 0 Debug level for split shiro-rekha process. disable_character_fragments 1 Do not include character fragments in the results of the classifier doc_dict_certainty_threshold -2.25 Worst certainty for words that can be inserted into thedocument dictionary doc_dict_pending_threshold 0 Worst certainty for using pending dictionary docqual_excuse_outline_errs 0 Allow outline errs in unrejection? edges_boxarea 0.875 Min area fraction of grandchild for box edges_childarea 0.5 Min area fraction of child outline edges_children_count_limit 45 Max holes allowed in blob edges_children_fix 0 Remove boxy parents of char-like children edges_children_per_grandchild 10 Importance ratio for chucking outlines edges_debug 0 turn on debugging for this module edges_max_children_layers 5 Max layers of nested children inside a character outline edges_max_children_per_outline 10 Max number of children inside a character outline edges_min_nonhole 12 Min pixels for potential char in box edges_patharea_ratio 40 Max lensq/area for acceptable child outline edges_use_new_outline_complexity 0 Use the new outline complexity module editor_dbwin_height 24 Editor debug window height editor_dbwin_name EditorDBWin Editor debug window name editor_dbwin_width 80 Editor debug window width editor_dbwin_xpos 50 Editor debug window X Pos editor_dbwin_ypos 500 Editor debug window Y Pos editor_debug_config_file Config file to apply to single words editor_image_blob_bb_color 4 Blob bounding box colour editor_image_menuheight 50 Add to image height for menu bar editor_image_text_color 2 Correct text colour editor_image_win_name EditorImage Editor image window name editor_image_word_bb_color 7 Word bounding box colour editor_image_xpos 590 Editor image X Pos editor_image_ypos 10 Editor image Y Pos editor_word_height 240 Word window height editor_word_name BlnWords BL normalized word window editor_word_width 655 Word window width editor_word_xpos 60 Word window X Pos editor_word_ypos 510 Word window Y Pos enable_new_segsearch 0 Enable new segmentation search path. enable_noise_removal 1 Remove and conditionally reassign small outlines when they confuse layout analysis, determining diacritics vs noise equationdetect_save_bi_image 0 Save input bi image equationdetect_save_merged_image 0 Save the merged image equationdetect_save_seed_image 0 Save the seed image equationdetect_save_spt_image 0 Save special character image file_type .tif Filename extension fixsp_done_mode 1 What constitues done for spacing fixsp_non_noise_limit 1 How many non-noise blbs either side? fixsp_small_outlines_size 0.28 Small if lt xht x this force_word_assoc 0 force associator to run regardless of what enable_assoc is.This is used for CJK where component grouping is necessary. fragments_debug 0 Debug character fragments fragments_guide_chopper 0 Use information from fragments to guide chopping process fx_debugfile FXDebug Name of debugfile gapmap_big_gaps 1.75 xht multiplier gapmap_debug 0 Say which blocks have tables gapmap_no_isolated_quanta 0 Ensure gaps not less than 2quanta wide gapmap_use_ends 0 Use large space at start and end of rows heuristic_max_char_wh_ratio 2 max char width-to-height ratio allowed in segmentation heuristic_segcost_rating_base 1.25 base factor for adding segmentation cost into word rating.It’s a multiplying factor, the larger the value above 1, the bigger the effect of segmentation cost. heuristic_weight_rating 1 weight associated with char rating in combined cost ofstate heuristic_weight_seamcut 0 weight associated with seam cut in combined cost of state heuristic_weight_width 1000 weight associated with width evidence in combined cost of state hocr_font_info 0 Add font info to hocr output hyphen_debug_level 0 Debug level for hyphenated words. il1_adaption_test 0 Dont adapt to i/I at beginning of word include_page_breaks 0 Include page separator string in output text after each image/page. interactive_display_mode 0 Run interactively? language_model_debug_level 0 Language model debug level language_model_fixed_length_choices_depth 3 Depth of blob choice lists to explore when fixed length dawgs are on language_model_min_compound_length 3 Minimum length of compound words language_model_ngram_nonmatch_score -40 Average classifier score of a non-matching unichar. language_model_ngram_on 0 Turn on/off the use of character ngram model language_model_ngram_order 8 Maximum order of the character ngram model language_model_ngram_rating_factor 16 Factor to bring log-probs into the same range as ratings when multiplied by outline length language_model_ngram_scale_factor 0.03 Strength of the character ngram model relative to the character classifier language_model_ngram_small_prob 1e-06 To avoid overly small denominators use this as the floor of the probability returned by the ngram model. language_model_ngram_space_delimited_language 1 Words are delimited by space language_model_ngram_use_only_first_uft8_step 0 Use only the first UTF8 step of the given string when computing log probabilities. language_model_penalty_case 0.1 Penalty for inconsistent case language_model_penalty_chartype 0.3 Penalty for inconsistent character type language_model_penalty_font 0 Penalty for inconsistent font language_model_penalty_increment 0.01 Penalty increment language_model_penalty_non_dict_word 0.15 Penalty for non-dictionary words language_model_penalty_non_freq_dict_word 0.1 Penalty for words not in the frequent word dictionary language_model_penalty_punc 0.2 Penalty for inconsistent punctuation language_model_penalty_script 0.5 Penalty for inconsistent script language_model_penalty_spacing 0.05 Penalty for inconsistent spacing language_model_use_sigmoidal_certainty 0 Use sigmoidal score for certainty language_model_viterbi_list_max_num_prunable 10 Maximum number of prunable (those for which PrunablePath() is true) entries in each viterbi list recorded in BLOB_CHOICEs language_model_viterbi_list_max_size 500 Maximum size of viterbi lists recorded in BLOB_CHOICEs load_bigram_dawg 1 Load dawg with special word bigrams. load_fixed_length_dawgs 1 Load fixed length dawgs (e.g. for non-space delimited languages) load_freq_dawg 1 Load frequent word dawg. load_number_dawg 1 Load dawg with number patterns. load_punc_dawg 1 Load dawg with punctuation patterns. load_system_dawg 1 Load system word dawg. load_unambig_dawg 1 Load unambiguous word dawg. m_data_sub_dir tessdata/ Directory for data files matcher_avg_noise_size 12 Avg. noise blob length matcher_bad_match_pad 0.15 Bad Match Pad (0-1) matcher_clustering_max_angle_delta 0.015 Maximum angle delta for prototype clustering matcher_debug_flags 0 Matcher Debug Flags matcher_debug_level 0 Matcher Debug Level matcher_debug_separate_windows 0 Use two different windows for debugging the matching: One for the protos and one for the features. matcher_good_threshold 0.125 Good Match (0-1) matcher_great_threshold 0 Great Match (0-1) matcher_min_examples_for_prototyping 3 Reliable Config Threshold matcher_perfect_threshold 0.02 Perfect Match (0-1) matcher_permanent_classes_min 1 Min # of permanent classes matcher_rating_margin 0.1 New template margin (0-1) matcher_sufficient_examples_for_prototyping 5 Enable adaption even if the ambiguities have not been seen max_permuter_attempts 10000 Maximum 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. max_viterbi_list_size 10 Maximum size of viterbi list. merge_fragments_in_matrix 1 Merge the fragments in the ratings matrix and delete them after merging min_orientation_margin 7 Min acceptable orientation margin min_sane_x_ht_pixels 8 Reject any x-ht lt or eq than this ngram_permuter_activated 0 Activate character-level n-gram-based permuter noise_cert_basechar -8 Hingepoint for base char certainty noise_cert_disjoint -1 Hingepoint for disjoint certainty noise_cert_factor 0.375 Scaling on certainty diff from Hingepoint noise_cert_punc -3 Threshold for new punc char certainty noise_maxperblob 8 Max diacritics to apply to a blob noise_maxperword 16 Max diacritics to apply to a word numeric_punctuation ., Punct. chs expected WITHIN numbers ocr_devanagari_split_strategy 0 Whether to use the top-line splitting process for Devanagari documents while performing ocr. ok_repeated_ch_non_alphanum_wds -?*= Allow NN to unrej oldbl_corrfix 1 Improve correlation of heights oldbl_dot_error_size 1.26 Max aspect ratio of a dot oldbl_holed_losscount 10 Max lost before fallback line used oldbl_xhfix 0 Fix bug in modes threshold for xheights oldbl_xhfract 0.4 Fraction of est allowed in calc outlines_2 ij!?%”:; Non standard number of outlines outlines_odd % output_ambig_words_file Output file for ambiguities found in the dictionary page_separator pageseg_devanagari_split_strategy 0 Whether to use the top-line splitting process for Devanagari documents while performing page-segmentation. paragraph_debug_level 0 Print paragraph debug info. paragraph_text_based 1 Run paragraph detection on the post-text-recognition (more accurate) permute_chartype_word 0 Turn on character type (property) consistency permuter permute_debug 0 Debug char permutation process permute_fixed_length_dawg 0 Turn on fixed-length phrasebook search permuter permute_only_top 0 Run only the top choice permuter permute_script_word 0 Turn on word script consistency permuter pitsync_fake_depth 1 Max advance fake generation pitsync_joined_edge 0.75 Dist inside big blob for chopping pitsync_linear_version 6 Use new fast algorithm pitsync_offset_freecut_fraction 0.25 Fraction of cut for free cuts poly_allow_detailed_fx 0 Allow feature extractors to see the original outline poly_debug 0 Debug old poly poly_wide_objects_better 1 More accurate approx on wide things preserve_interword_spaces 0 Preserve multiple interword spaces prioritize_division 0 Prioritize blob division over chopping quality_blob_pc 0 good_quality_doc gte good blobs limit quality_char_pc 0.95 good_quality_doc gte good char limit quality_min_initial_alphas_reqd 2 alphas in a good word quality_outline_pc 1 good_quality_doc lte outline error limit quality_rej_pc 0.08 good_quality_doc lte rejection limit quality_rowrej_pc 1.1 good_quality_doc gte good char limit rating_scale 1.5 Rating scaling factor rej_1Il_trust_permuter_type 1 Dont double check rej_1Il_use_dict_word 0 Use dictword test rej_alphas_in_number_perm 0 Extend permuter check rej_trust_doc_dawg 0 Use DOC dawg in 11l conf. detector rej_use_good_perm 1 Individual rejection control rej_use_sensible_wd 0 Extend permuter check rej_use_tess_accepted 1 Individual rejection control rej_use_tess_blanks 1 Individual rejection control rej_whole_of_mostly_reject_word_fract 0.85 if >this fract repair_unchopped_blobs 1 Fix blobs that aren’t chopped save_alt_choices 1 Save alternative paths found during chopping and segmentation search save_doc_words 0 Save Document Words save_raw_choices 1 Deprecated- backward compatablity only segment_adjust_debug 0 Segmentation adjustment debug segment_debug 0 Debug the whole segmentation process segment_nonalphabetic_script 0 Don’t use any alphabetic-specific tricks.Set to true in the traineddata config file for scripts that are cursive or inherently fixed-pitch segment_penalty_dict_case_bad 1.3125 Default score multiplier for word matches, which may have case issues (lower is better). segment_penalty_dict_case_ok 1.1 Score multiplier for word matches that have good case (lower is better). segment_penalty_dict_frequent_word 1 Score multiplier for word matches which have good case andare frequent in the given language (lower is better). segment_penalty_dict_nonword 1.25 Score multiplier for glyph fragment segmentations which do not match a dictionary word (lower is better).
GitHub地址
