This experience, which made me almost omniscient in my field naturally led me to be involved in large-scale projects around the digitalization of business processes, mainly in such sectors like insurance and finance. I have, indeed, worked in nine different companies and successively adopted the vision of the service provider, the customer and the software editor. In more than 15 years, I have built-up a solid experience around various integration projects (data & applications). We will now use them to rework our images which have some flaws of course: Return cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)Ĭoords = np.column_stack(np.where(image > 0)) Return cv2.erode(image, kernel, iterations = 1) Return cv2.dilate(image, kernel, iterations = 1) Return cv2.threshold(image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU) Return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) Let’s already visualize what is recognized by Tesseractįor starters it can be very useful to be able to see what tesseract interpreted. How about displaying the image with highlighted areas detected and interpreted as text?įor this we are going to use a very powerful and widely used library in “Computer Vision”: OpenCV . We will see in this article how to best overcome some of these limits. It does not expose text information / metadata (like font).He has trouble interpreting poor quality scans.tesseract analyzes documents in the natural reading order, which is not always the right method. For example, it may not recognize that a document contains multiple columns and may try to join the text from those columns as a single row.It is sensitive to the language specified in argument. Basically, if a document contains languages other than those specified in the -l LANG arguments, the results can be really, really bad!.It can sometimes return gibberish (false positives).Tesseract does not work really well with images that have undergone some modification (complex or blurred background, lines, partial occlusion, distortion, etc.).Unfortunately Tesseract is not able to recognize handwriting.Obviously Tesseract is not as precise as some commercial solutions (such as ABBYY for example).Modification of the source image (pre-processing).Let’s already visualize what is recognized by Tesseract.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |