An Efficient OCR System based on the Regional Feature  using the ASVM as Classifier

Ms. Manjeet Kaur; Maninder Kaur

Title:
An Efficient OCR System based on the Regional Feature using the ASVM as Classifier

Authors:
Maninder Kaur | Ms. Manjeet Kaur
DOI:
https://doi.org/10.31142/ijtsrd2425

Cite This Article :

Maninder Kaur | Ms. Manjeet Kaur "An Efficient OCR System based on the Regional Feature using the ASVM as Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5, August 2017, pp.1226-1232, URL: https://www.ijtsrd.com/papers/ijtsrd2425.pdf

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Abstract :
In Image Processing, sometimes due to poor handwriting, the writer left some gap between diacritics and character or between diacritics and header line due to which small text blocks gets created which leads to improper text line segmentation and hence leads to wrong results and overlapping. As a result accuracy of the algorithm degrades. In proposed work Adaptive SVM will be used to improve accuracy of the system.

Keywords :
OCR; Image Processing; Feature extraction; Adaptive SVM Classifier.

Publication Details:

Unique Identification Number : IJTSRD2425

Published In : Volume-1 | Issue-5, August 2017

Page Number(s) : 1226-1232

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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