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OCR for hand written notes

post #1 of 9
Thread Starter 
I was wondering if there's any OCR programs for notes for handwritten notes?
post #2 of 9
You mean like microsoft one note?
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post #3 of 9
Quote:
Originally Posted by omgipown View Post

You mean like microsoft one note?

I think he means something that will turn hand-written notes into a computer text file.
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post #5 of 9
Thread Starter 
Let me explain. Basically, I write notes in class onto computer paper. I want to scan them into PDFs, but I was wondering if such software exists that I can also use OCR to make my PDFs searchable (will really help with my notes). Does such a product exist?
post #6 of 9
Actually, there are two basic types of core OCR algorithm, which may produce a ranked list of candidate characters.
Matrix matching involves comparing an image to a stored glyph on a pixel-by-pixel basis; it is also known as "pattern matching" or "pattern recognition". This relies on the input glyph being correctly isolated from the rest of the image, and on the stored glyph being in a similar font and at the same scale. This technique works best with typewritten text and does not work well when new fonts are encountered. This is the technique the early physical photocell-based OCR implemented, rather directly.
Feature extraction decomposes glyphs into "features" like lines, closed loops, line direction, and line intersections. These are compared with an abstract vector-like representation of a character, which might reduce to one or more glyph prototypes. General techniques of feature detection in computer vision are applicable to this type of OCR, which is commonly seen in "intelligent" handwriting recognition and indeed most modern OCR software. Nearest neighbour classifiers such as the k-nearest neighbors algorithm are used to compare image features with stored glyph features and choose the nearest match.
Software such as Cuneiform and Tesseract use a two-pass approach to character recognition. The second pass is known as "adaptive recognition" and uses the letter shapes recognized with high confidence on the first pass to better recognize the remaining letters on the second pass. This is advantageous for unusual fonts or low-quality scans where the font is distorted (e.g. blurred or faded).You can refer to some professional OCR SDKs for help. And you'd better try its free trial package according to its tutorials about how to get OCR started first then choose one whose way of processing is simple and fast. It can save a lot of time for you. I hope you success. Good luck.



Best Regards,
Arron
post #7 of 9
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post #8 of 9
Scan and save document as jpeg then use Evernote to convert with the OCR handwritten algorithm. Found it here on Evernote forums:

http://discussion.evernote.com/topic/26195-why-no-ocr-search-on-handwritten-notes/

The algorithm on most OCR software are for print documents not hand written documents. If you try to use Abby Finereader to open an image of your handwritten notes it will not recognize them and will not turn them into text/searchable notes.
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post #9 of 9
I was going to say that it seems the hard part of this would be the handwriting. Typed text seems to make more sense for OCR but that does not help your situation. Take a tablet or ultrabook to class?? smile.gif
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