jTessBoxEditor是一款专业的orc样本识别训练軟件，基于java开发而来，可以进行Tesseract3.02.02样本训练，形成自己的语言库,提高验证码识别率和准确率，比较常用的就是验证码识别方面。有需要的朋友可以下载！

jTessBoxEditor使用教程

1)、准備樣本圖片

手動刷新某網站驗證碼，手動或者寫程序，保存了101個驗證碼樣本文件，分別命名成：1.png，2.png，……，101.png。

該驗證碼有幾個特點：a、定長4位，b、都是數字，c、有背景幹擾，但比較簡單，d、字體爲紅色。

爲了提高識別率，首先做了一個工作就是灰度化處理，並全部轉換成tif文件，分別命名成：1.tif，2.tif，……，101.tif，統一存放在d:\python\lnypcg下。

2)、合並樣本圖片

打开jtessboxeditor，点击Tools->Merge Tiff ，按住shift键选择前文提到的101个tif文件，并把生成的tif合并到新目录d:\python\lnypcg\new下，命名为langyp.fontyp.exp0.tif。

注意：langyp 是本人定义的语言名称，fontyp是本人定义的字体名称，后续都会用到，你可以修改成你喜欢的名字。

3)、生成box文件

执行命令生成langyp.fontyp.exp0.box 文件

tesseract langyp.fontyp.exp0.tif langyp.fontyp.exp0 -l eng -psm 7 batch.nochop makebox

D:/python/lnypcg/new>tesseract langyp.fontyp.exp0.tif langyp.fontyp.exp0 -l eng -psm 7 batch.nochop makeboxTesseract Open Source OCR Engine v3.02 with LeptonicaPage 1 of 101Page 2 of 101Page 3 of 101……Page 101 of 101D:/python/lnypcg/new>dir 驱动器 D 中的卷没有标签。 卷的序列号是 36D9-CDC7 D:/python/lnypcg/new 的目录2016-06-03 14:37

.2016-06-03 14:37

..2016-06-03 14:30 6,327 langyp.fontyp.exp0.box 2016-06-03 13:07 126,056 langyp.fontyp.exp0.tif 2 个文件 132,383 字节 2 个目录 24,869,994,496 可用字节

4)、修改box文件

切换到jTessBoxEditor工具的Box Editor页,点击open,打开前面的tiff文件langyp.fontyp.exp0.tif,工具会自动加载对应的box文件。

檢查box數據,如下圖所示,數字8被誤認成字母H,手工修改H成8,並保存。

點擊下圖紅色框的按鈕,逐個核對tif文件的box數據,全部檢查結束並保存。

5)、生成font_properties

執行echo命令生成font_properties。

echo fontyp 0 0 0 0 0 >font_properties

也可以手工新建一個名爲font_properties的文本文件(注意該文件沒有擴展名),內容爲字體名fontyp,後面帶5個0,分別代表字體的粗體、斜體等屬性,這裏全部是0

D:/python/lnypcg/new>echo fontyp 0 0 0 0 0 >font_propertiesD:/python/lnypcg/new>type font_propertiesfontyp 0 0 0 0 0

6)、生成訓練文件

執行命令,生成langyp.fontyp.exp0.tr訓練文件

tesseract langyp.fontyp.exp0.tif langyp.fontyp.exp0 -l eng -psm 7 nobatch box.train

D:/python/lnypcg/new>tesseract langyp.fontyp.exp0.tif langyp.fontyp.exp0 -l eng -psm 7 nobatch box.trainTesseract Open Source OCR Engine v3.02 with LeptonicaPage 1 of 101row xheight=8.66667, but median xheight = 10APPLY_BOXES: Boxes read from boxfile: 4Found 4 good blobs.Generated training data for 1 words………………Page 101 of 101row xheight=8.66667, but median xheight = 10APPLY_BOXES: Boxes read from boxfile: 4 Found 4 good blobs.Generated training data for 1 words D:/python/lnypcg/new 的目录2016-06-03 16:34

.2016-06-03 16:34

..2016-06-03 16:05 16 font_properties2016-06-03 14:30 6,327 langyp.fontyp.exp0.box2016-06-03 13:07 126,056 langyp.fontyp.exp0.tif2016-06-03 16:20 618,844 langyp.fontyp.exp0.tr 2016-06-03 16:20 202 langyp.fontyp.exp0.txt 5 个文件 751,445 字节 2 个目录 24,869,101,568 可用字节

7)、生成字符集文件

執行命令,生成名爲unicharset的字符集文件。

unicharset_extractor langyp.fontyp.exp0.box

D:/python/lnypcg/new>unicharset_extractor langyp.fontyp.exp0.boxExtracting unicharset from langyp.fontyp.exp0.boxWrote unicharset file ./unicharset.D:/python/lnypcg/new>dir 驱动器 D 中的卷没有标签。 卷的序列号是 36D9-CDC7 D:/python/lnypcg/new 的目录2016-06-03 16:41

.2016-06-03 16:41

..2016-06-03 16:05 16 font_properties2016-06-03 14:30 6,327 langyp.fontyp.exp0.box2016-06-03 13:07 126,056 langyp.fontyp.exp0.tif2016-06-03 16:20 618,844 langyp.fontyp.exp0.tr2016-06-03 16:20 202 langyp.fontyp.exp0.txt2016-06-03 16:41 712 unicharset 6 个文件 752,157 字节 2 个目录 24,869,171,200 可用字节

8)、生成shape文件

執行命令,生成shape文件

shapeclustering -F font_properties -U unicharset -O langyp.unicharset langyp.fontyp.exp0.tr

D:/python/lnypcg/new>shapeclustering -F font_properties -U unicharset -O langyp.unicharset langyp.fontyp.exp0.trReading langyp.fontyp.exp0.tr ...Building master shape tableComputing shape distances...Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances... 0Stopped with 0 merged, min dist 999.000000Computing shape distances...Stopped with 0 merged, min dist 999.000000Computing shape distances...Stopped with 0 merged, min dist 999.000000Computing shape distances... 0 1 2 3 4 5 6 7 8 9 10Stopped with 0 merged, min dist 0.057803Master shape_table:Number of shapes = 11 max unichars = 1 number with multiple unichars = 0D:/python/lnypcg/new>dir 驱动器 D 中的卷没有标签。 卷的序列号是 36D9-CDC7 D:/python/lnypcg/new 的目录2016-06-03 17:24

.2016-06-03 17:24

..2016-06-03 17:20 19 font_properties2016-06-03 14:30 6,327 langyp.fontyp.exp0.box2016-06-03 13:07 126,056 langyp.fontyp.exp0.tif2016-06-03 17:23 618,844 langyp.fontyp.exp0.tr2016-06-03 17:23 202 langyp.fontyp.exp0.txt2016-06-03 17:24 723 langyp.unicharset2016-06-03 17:24 202 shapetable 2016-06-03 17:24 712 unicharset 8 个文件 753,085 字节 2 个目录 24,868,278,272 可用字节

9)、生成聚集字符特征文件

執行命令,生成3個特征字符文件,unicharset、inttemp、pffmtable

mftraining -F font_properties -U unicharset -O langyp.unicharset langyp.fontyp.exp0.tr

D:/python/lnypcg/new>mftraining -F font_properties -U unicharset -O langyp.unicharset langyp.fontyp.exp0.trRead shape table shapetable of 11 shapesReading langyp.fontyp.exp0.tr ...Done!

10)、生成字符正常化特征文件

執行命令,生成正常化特征文件normproto。

cntraining langyp.fontyp.exp0.tr

D:/python/lnypcg/new>cntraining langyp.fontyp.exp0.trReading langyp.fontyp.exp0.tr ...Clustering ...

11)、更名

執行命令,把步驟9,步驟10生成的特征文件進行更名。

rename normproto fontyp.normproto

rename inttemp fontyp.inttemp

rename pffmtable fontyp.pffmtable

rename unicharset fontyp.unicharset

rename shapetable fontyp.shapetable

D:/python/lnypcg/new>rename normproto fontyp.normprotoD:/python/lnypcg/new>rename inttemp fontyp.inttempD:/python/lnypcg/new>rename pffmtable fontyp.pffmtableD:/python/lnypcg/new>rename unicharset fontyp.unicharsetD:/python/lnypcg/new>rename shapetable fontyp.shapetable

12)、合並訓練文件

執行命令,生成fontyp.traineddata文件。

combine_tessdata fontyp.

注意:

a、fontyp.traineddata文件最終要拷貝tesseract安裝目錄的tessdata目錄下,才能被tesseract找到。

b、命令行最後必須帶一個點。

c、執行結果中,1,3,4,5,13這幾行必須有數值,才代表命令執行成功。

D:/python/lnypcg/new>combine_tessdata fontyp.Combining tessdata filesTessdataManager combined tesseract data files.Offset for type 0 is -1Offset for type 1 is 140 Offset for type 2 is -1Offset for type 3 is 852Offset for type 4 is 137760Offset for type 5 is 137850 Offset for type 6 is -1Offset for type 7 is -1Offset for type 8 is -1Offset for type 9 is -1Offset for type 10 is -1Offset for type 11 is -1Offset for type 12 is -1Offset for type 13 is 139352 Offset for type 14 is -1Offset for type 15 is -1Offset for type 16 is -1

13)測試使用

譬如前文的28.tif中8被誤認爲字母S,用新的字體看是否還出錯。

D:/python/lnypcg>tesseract 28.tif output -l eng -psm 7Tesseract Open Source OCR Engine v3.02 with LeptonicaD:/python/lnypcg>type output.txtS094#1调用默认的eng语言,8被识别成S D:/python/lnypcg>tesseract 28.tif output -l fontyp -psm 7Error opening data file C:/Program Files (x86)/Tesseract-OCR/tessdata/fontyp.traineddataPlease make sure the TESSDATA_PREFIX environment variable is set to the parent directory of your "tessdata" directory.Failed loading language 'fontyp'Tesseract couldn't load any languages!Could not initialize tesseract.#2條用新的fontyp语言,tesseract找不到fontyp语言。 D:/python/lnypcg>copy ./new/fontyp.traineddata "C:/Program Files (x86)/Tesseract-OCR/tessdata"已复制 1 个文件。#3复制 fontyp.traineddata到tesseract的安装目录的tessdata子目录下 D:/python/lnypcg>tesseract 28.tif output -l fontyp -psm 7Tesseract Open Source OCR Engine v3.02 with LeptonicaD:/python/lnypcg>type output.txt8094

#使用fontyp語言成功識別8094