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Optical Character Recognition of Tamil characters based on DCT features using SVM and Neural Network

T. Ganesh, Niranj Jyothish

Abstract



Our work aims to design an Optical Character Recognition (OCR) system which can identify handwritten Tamil characters. Typically, OCR involves four different stages, namely - Pre-processing, feature extraction, Character Recognition and Post-processing. In this work, the block-wise Discrete Cosine Transform (DCT) was used for feature extraction. Classification was done using two different techniques namely, Support Vector Machines (SVM) and Neural Network. Also, a performance analysis for the above classifiers is done. The classification was conducted for thirty-four Tamil alphabets.


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