Click here to Skip to main content
Click here to Skip to main content
Add your own
alternative version

Handwriting Recognition using Kernel Discriminant Analysis

, 20 Sep 2012 CPOL
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the optical recognition of handwritten digits data set from the UCI Machine Learning Repository.

Statistics


License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Share

About the Author

César de Souza
Engineer Xerox Research Center Europe
Brazil Brazil
Computer and technology enthusiast, interested in artificial intelligence and image processing. Has a Master's degree on Computer Science specialized on Image and Signal Processing, with expertise on Machine Learning, Computer Vision, Pattern Recognition and Data Mining systems. Author of the Accord.NET Framework for developing scientific computing applications.
 
If you would like to hire good developers to build your dream application, please check out DaitanGroup, one of the top outsourcing companies in Brazil. This company, located in Brazil's Sillicon Valley but with US-based offices, has huge experience developing telecommunications software for large and small companies worldwide.
Follow on   Twitter   Google+   LinkedIn

| Advertise | Privacy | Mobile
Web04 | 2.8.141022.2 | Last Updated 20 Sep 2012
Article Copyright 2010 by César de Souza
Everything else Copyright © CodeProject, 1999-2014
Terms of Service
Layout: fixed | fluid