I need a good algorithm that recognizes hand writing and converts it into computer text like OCR for printed text. Any directions?
Members - Reputation: 777
Posted 15 September 2013 - 10:39 AM
The closest I've seen in my studies towards a goal like this is using neural networks with many, many, MANY test cases. In fact, the first example I had in my neural networks class was a program that could recognize the numbers a person wrote. Perhaps you just try looking for algorithms in that direction...? Honestly I don't know of any other algorithms that might do this...
I wish you luck!!
EDIT: Here's the link to the class: https://www.coursera.org/course/neuralnets
Look at the first example (video 5 or 6) and they are showing how a neural network can figure out what number a person is writing. Note that this is just numbers....let alone letters, words, etc.
Edited by studentTeacher, 15 September 2013 - 10:56 AM.
Crossbones+ - Reputation: 2361
Posted 15 September 2013 - 01:03 PM
According to http://en.wikipedia.org/wiki/Optical_character_recognition what you want is ICR or IWR and only one bit of software on the list at http://en.wikipedia.org/wiki/Comparison_of_optical_character_recognition_software says it supports that. I suspect with a bit of searching you could find more options.
Systems that can read handwriting do exist in commercial products. For example in automated mail sorting systems.
Edited by Adam_42, 15 September 2013 - 01:06 PM.
Moderators - Reputation: 18836
Posted 16 September 2013 - 08:22 AM
Just one of the 'easy' cases, a hand-drawn symbol: /-\ Is it an H? Or an A? If it showed up as "H/-\T" or "T/-\E" you could build "HAT" or "THE". If it was standalone it might be "It".
Repeat the process for all variations of handwriting. Then include sloppy handwriting that even the writer struggles to read.
Even high quality commercial OCR and word recognizers fail frequently and require humans to figure it out.