On Wed, Mar 30, 2011 at 5:27 PM, Max Cantor <[email protected]> wrote: > Yes. I've had great experience with sauvola binarize from leptonica. Gamer > works too but is much much slower > > On Mar 31, 2011, at 0:02, cong nguyenba <[email protected]> wrote: > >> I have another approach for you here: try to apply binarization using >> adaptive threshold! Delving into engine by following apdaptive >> classification in source code for speedup! I think it is enough for >> your expectation!
Here's links to the relevant Leptonica API source files: adaptmap.c - local adaptive grayscale quantization; mostly gray-to-gray in preparation (http://tpgit.github.com/Leptonica/adaptmap_8c.html#_details) binarize.c - Special binarization methods, locally adaptive: Otsu and Sauvola (http://tpgit.github.com/Leptonica/binarize_8c.html#_details) grayquant.c - Standard, simple, general grayscale quantization (http://tpgit.github.com/Leptonica/grayquant_8c.html#_details) See also: Grayscale Mapping and Binarization (http://tpgit.github.com/UnOfficialLeptDocs/leptonica/binarization.html) Document Image Analysis (http://tpgit.github.com/UnOfficialLeptDocs/leptonica/document-image-analysis.html) which refers to http://tpgit.github.com/Leptonica/livre__adapt_8c_source.html and http://tpgit.github.com/Leptonica/livre__tophat_8c_source.html. -- TP -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/tesseract-ocr?hl=en.
