Handwriting Recognition Revisited: Kernel Support Vector Machines

César de Souza

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2 Dec 2014CPOL14 min read

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Techniques to perform recognition of handwritten digits using Kernel Support Vector Machines

In a previous article, we discussed how to perform the recognition of handwritten digits using Kernel Discriminant Analysis. In this article, we will discuss some techniques to do it using Kernel Support Vector Machines.

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

Written By

César de Souza

Engineer NAVER LABS Europe

France

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.

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Handwriting Recognition Revisited: Kernel Support Vector Machines

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