I'm developing an Android app, recognizing text from video taken with the phone's camera. I'm using opencv 3.1 for image processing and preparation. Then I cut out the words from the image, clean them up as much as possible - again with opencv. Finally I pass small images to tesseract with one, sometimes 2 words when the word detection makes a mistake. So far I recognize very well all words in a normal font and even on text as small as font 6.
The problem: Currently I recognize black text on white background us. I detect the text using a simple method - to put it simple - I "smudge" the words and find the contours then the bounding rects of those contours and so on. I want to be able to *detect *text in various scenarios, even when the background is very colorful and the text is any color. As far as I know the best way to do this is use SWT. The question: is there any open source implementation of SWT using opencv? tl;dr; I want to recognize text in various scenes using SWT, how to do it with opencv and tesseract available? -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/dfed43fd-9b49-48ff-affe-abc1745b68a9%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
