Hi Ray, I seek your valuable guidance whether DangAmbigs generator is helpful for Kannada project? -with regards, -sriranga(76yrsold)
On Thu, Apr 9, 2009 at 10:52 PM, Ray Smith <[email protected]> wrote: > Interesting result. The problem is that the value of DangAmbigs varies > according to the size of the document being OCRed. > Very small documents don't benefit from the adaptive classifier at all, so > DangAmbigs has very little effect. > Very large (eg multipage) documents benefit greatly from the adaptive > classifier, and mis-adaption has the greatest cost, so adaption has to be > carefully controlled, hence DangAmbigs is very important. > On medium-sized documents, adaption has a strong effect, but the cost (and > danger) of mis-adaption is lower, so it pays to make riskier adaptions - > hence an empty DangAmbigs can lead to higher accuracy. > > Ray. > > > On Wed, Apr 8, 2009 at 12:27 PM, Michael Reimer > <[email protected]>wrote: > >> >> Also, I've run the UNLV tests with the default DangAmbigs from the >> English language pack, with my own generated one, and with an empty >> one. The empty one gives the best performance on my system. Is that >> normal? >> >> > > > > --~--~---------~--~----~------------~-------~--~----~ 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 -~----------~----~----~----~------~----~------~--~---
