A Novel Approach of Character Recognition using Local Binary Pattern and SVM Classifier

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.7 · Issue 1

Published

August 2018

Access

Open Access

Licence

CC BY-NC-SA 4.0

Alka Kumari Nirupama Tiwari

The purpose of this paper is to initiate the development of a framework for digitization and recognition of handwritten character. The software architecture of the system is based on the generic integration of commercial character recognition tools called OCR (Optical Character Recognition). Indeed, the evolution of these tools today opens up a serious alternative to manual entry in order to increase productivity. We will present the capabilities of these tools and their limitations. In this paper, support vector machine (SVM) based approach is proposed to solve this type of problem which is capable of recognizing character with the help of Local Binary Pattern feature extraction and support vector machine (SVM) based classifier.

Alka Kumari, Nirupama Tiwari (2018). A Novel Approach of Character Recognition using Local Binary Pattern and SVM Classifier. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.7, Issue 1. ISSN: 2319-4863.

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