tesseract

I am trying to interact with tesseract API also I am new to image processing and I am just struggling with it for last few days. I have tried simple algorithms and I have achieved around 70% accuracy. I want its accuracy to be 90+%. The problem with the images is that they are in 72dpi. I also tried to increase the resolution but did not get good results the images which I am trying to be recognized are attached. Any help would be appreciated and I am sorry if I asked something very basic. EDIT I forgot to mention that I am trying to do all the processing and recognition within 2-2.5 secs on

I am getting some errors while integrating Tesseract SDK in my iOS app. The procedure I have followed - 1) Dragged "libtesseract_full.a" in xcode 2) Dragged "tessdata" folder in xcode 3) Dragged "baseapi.h" in xcode Now when I am using Tesseract - // init the tesseract engine. tess = new TessBaseAPI(); tess->SimpleInit([dataPath cStringUsingEncoding:NSUTF8StringEncoding], // Path to tessdata-no ending /. "eng", // ISO 639-3 string or NULL. false); I am getting these below errors (I think there is some framework or something like that missing, but not getting what is missing, tesseract demo

I'm using Tesseract and I want to develop an app that is able to recognize a sequence of characters. I had good results but not exellent. The characters sequence I want to read has always a specific pattern, let's say: number number number char char - (e.g.: 123AB) Is there a way to "tell" the ocr engine that the structure is always fixed, in order to improve the results of the recognition? Thank you in advance. nguyenq Try bazaar matching pattern in Tesseract: \d\d\d\c\c You can use the "tessedit_char_whitelist" parameter 来源： https://stackoverflow.com/questions/14858514/tesseract-ocr-is-it

#文字识别 pip install pytesseract #图片处理 pip install pillow 创建一个新项目： test_pytesseract：模块 pytesseract 的基本使用测试 test_pillow：模块 Pillow 的基本使用测试 case_verification：实战案例，破解网站图片验证码验证 python 图片库 ： --》 image类 通过从文件加载图像，处理其他图像或从头开始创建图像。 http://p0.meituan.net/dpmerchantpic/645b8bf94a00f7d6b509c5d8aab7f14d644788.jpg #查看所能识别的字体 tesseract --list-langs #对图片识别 tesseract c.png c -l chi_sim #就会将 c.png 识别到的图片信息保存到 c.txt 中 来源： https://www.cnblogs.com/shaozheng/p/11803357.html

I am trying to use Tesseract 3.02 with ctypes and cv2 in python. Tesseract provides a DLL exposed set of C style APIs, one of them is as following: TESS_API void TESS_CALL TessBaseAPISetImage(TessBaseAPI* handle, const unsigned char* imagedata, int width, int height, int bytes_per_pixel, int bytes_per_line); So far, my code is as follows: tesseract = ctypes.cdll.LoadLibrary('libtesseract302.dll') api = tesseract.TessBaseAPICreate() tesseract.TessBaseAPIInit3(api, '', 'eng') imcv = cv2.imread('test.bmp') w, h, d = imcv.shape ret = tesseract.TessBaseAPISetImage(api, ctypes.c_char_p(str(imcv.data

I want to do OCR on this image. This is pre-define format. ie first five will characters, then next four will be digits and last will be character. When I execute following command $ tesseract in.png stdout I get output as BDVPD474SQ So, I went for user-pattern. I created a file(in directory /usr/share/tesseract-ocr/tessdata/configs ) named as bazaar (its content is as follow) load_system_dawg F load_freq_dawg F user_patterns_suffix user-patterns I also created a file, named as eng.user-patterns in directory /usr/share/tesseract-ocr/tessdata (its content is as follow) \A\A\A\A\A\d\d\d\d\A