python简体识别_python+tesseract怎样才能识别单个数字?
Usage:tesseract imagename outputbase [-l lang] [-psm pagesegmode] [configfile...]
pagesegmode values are:
0 = Orientation and script detection (OSD) only.
1 = Automatic page segmentation with OSD.
2 = Automatic page segmentation, but no OSD, or OCR
3 = Fully automatic page segmentation, but no OSD. (Default)
4 = Assume a single column of text of variable sizes.
5 = Assume a single uniform block of vertically aligned text.
6 = Assume a single uniform block of text.
7 = Treat the image as a single text line.
8 = Treat the image as a single word.
9 = Treat the image as a single word in a circle.
10 = Treat the image as a single character.
-l lang and/or -psm pagesegmode must occur before anyconfigfile.
tesseract imagename outputbase [-l lang] [-psm pagesegmode] [configfile...]
tesseract 图片名 输出文件名 -l 字库文件 -psm pagesegmode 配置文件
例如:
tesseract code.jpg result -l chi_sim -psm 7 nobatch
-l chi_sim 表示用简体中文字库(需要下载中文字库文件,解压后,存放到tessdata目录下去,字库文件扩展名为 .raineddata 简体中文字库文件名为: chi_sim.traineddata)
-psm 7 表示告诉tesseract code.jpg图片是一行文本 这个参数可以减少识别错误率. 默认为 3
configfile 参数值为tessdata\configs 和 tessdata\tessconfigs 目录下的文件名
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