Hi, do you now how to force the page layout to recognise it as horizontal? my issue is with that! you ll make me the happiest person on earth
On 17 Feb 2011, at 04:48, Saurabh Gandhi <[email protected]> wrote: > Hello everyone, > > I am currently using tesseract 3.x for license plate recognition. > I have an algorithm which does a good job in pre-processing the input image > to localize the plate. > However, when I use the Tesseract OCR engine to classify the plate number, > the recognition is not that accurate. I have gone through the tesseract > whitepapers as well as some of the threads discussing the LPR using tesseract. > > From all this, I have identified the following ways of improving the results: > Customise the tesseract engine to recognize only the characters from > A-Z,0-9,.(dot), (space) by setting the character white-list. My understanding > is that the white-list is the list of characters that are going to be sensed. > I was inquisitive to know what the blacklist is meant to do? > A lot of times I have seen fairly good number plate images being OCRed > inaccurately. This could possibly be due to the word recognition stage. Has > anyone found a way to disable the dictionary / word recognition. > Then there are some page segmentation modes (PSM_AUTO,PSM_SINGLE_BLOCK, > PSM_CHAR etc). Does PSM_CHAR imply that it will consider the input image as a > single character and run the algorithm accordingly without attempting word > recognition? > Another important configuration macro that I have seen within the code was > AVS_FASTEST = 0, AVS_MOST_ACCURATE = 100. However, I could not find the same > being used anywhere in the code. Does this have any impact on the character > recognition accuracy? > Finally, I also plan to use the confidence level data. Are there any > indicators of confidence for characters as well. There is word confidence > data which can be found in TessBaseAPI::AllWordConfidences(). > Awaiting your valuable insights. > Thank you. > > Regards, > Saurabh Gandhi > -- > 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. -- 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.
