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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 4, ISSUE 8, AUGUST 2015

Optimized Hindi Script Recognition using OCR Feature Extraction Technique

Nisha Goyal, Er. Shilpa Jain

DOI: 10.17148/IJARCCE.2015.4891

Abstract: Feature Extraction in any handwritten script is very important part of OCR. If right feature extraction technique is used, then it will make the recognition of individual character easy. In this we will try to use some technique that extracts the feature of individual character. Devanagari script is the popular and widespread script of India which is mostly used in India. It is used to write Hindi, Nepali and Marathi. We will try to extract feature of Hindi language. Hindi Language consists of vowels, constants and various modifiers. Proper Feature Extraction technique on Hindi character is challenging task. In this we use simple Feature Extraction technique to recognize handwritten Devanagari script.



Keywords: OCR (Optical character recognition), Feature Extraction, Zoning.

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Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite:

[1] Nisha Goyal, Er. Shilpa Jain, β€œOptimized Hindi Script Recognition using OCR Feature Extraction Technique,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4891

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