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Is there any specific algorithm for handwriting recognition? The algorithm should recognize the hand written letter.
Any one could help would be greatly appreciated in advance.
Thank you
232
Connectionist Temporal Classification(CTC) is an algorithm used to deal with tasks like speech recognition, handwriting recognition etc.
First, the handwriting to be recognized is digitized through scanners or cameras. Second, the image of the document is segmented into lines, words, and individual characters. Third, each character is recognized using OCR techniques. Finally, errors are corrected using lexicons or spelling checkers.
In this tutorial, we'll build a TensorFlow. js model to recognize handwritten digits with a convolutional neural network. First, we'll train the classifier by having it “look” at thousands of handwritten digit images and their labels.
Traditional OCR is all about technology that has “studied” fonts and symbols enough to be able to identify almost all variations of machine-printed text. But therein lies the limitations of traditional OCR: while it's great for extracting text from paper, it can't read handwriting.
You can use a genetic algorithm:
http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p03.pdf
You can use Greedy Point Match:
http://www.cs.berkeley.edu/~fateman/msw/GreedyPointMatchWriteup.pdf
I would suggest reading this paper:
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
155
OCR might be a good starting point.
42
There's the dollar family of recognizers which you can use to recognize single or multistroke gestures (and potentially map that to your alphabet) The lastest member of this family is the $P Recognizer. Here's a starting point: http://depts.washington.edu/aimgroup/proj/dollar/pdollar.html
27
Google has released an open source OCR engines Tesseract OCR, and It has an Python binding.
Hope this helps.
20
This one seems to win all the major competitions lately: https://github.com/alexgraves/RNNLIB/wiki
24
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