Optical Character Recognition of Tamil characters based on DCT features using SVM and Neural Network
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.
- There are currently no refbacks.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.