RCOEM-M.Tech (CSE) Projects Files

=== AUTHORS ===
1. Mr. Sumit Nalawade.
2. Prof. Rashmi Welekar.
3. Mr. Raj Dugar.

=== ABSTRACT ===

With advancement in new technologies many individuals are moving towards personalization of the same. The same idea inspired us to develop a system which can provide a personal touch to all our documents including both electronic and paper media. In this article we are proposing a novel idea for creating an editor system which will take handwritten scanned document as the input, recognizes the characters from the document, then proceed with creating the font of recognized handwriting to allow user to edit the document. We have proposed use of genetic algorithm along with K-NN classifier for fast recognition of handwritten characters and use of marching squares algorithm for tracing contour points of characters to generate a handwritten font.

=== INSTRUCTIONS TO RUN ===
1. Extract the HandwrittenDocumentEditor.rar to your system.
2. Click on start.exe and your program will start. (WARNING: Do not tamper with any folder extracted)
3. Unless training data is changed in 'trainingset' folder no need to train the program.
4. Follow the sequence Open-> Create Font-> Build Font give appropriate name when prompted.
5. After running the program successfully you'll find your font under typefaces/<your-specified-name>/bin