Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier
Jomy John, K Varshney Pramod, Kannan Balakrishnan · Procedia Engineering · 2012
This paper presents the application of wavelet processing in the domain of handwritten character recognition. To attain high recognition rate, robust feature extractors and powerful classifiers that are invariant to degree of variability of human writing are needed. The proposed scheme consists of two stages: a feature extraction stage, which is based on Haar wavelet transform and a classification stage that uses support vector machine classifier. Experimental results show that the proposed method is effective.