A New Approach for Handwritten City Name Recognition

MAMTA, GARG , and MUNISH, KUMAR and SILKY, BANSAL (2014) A New Approach for Handwritten City Name Recognition. In: International Conference on Advances In Engineering And Technology - ICAET 2014, 24 - 25 May, 2014, RIT, Roorkee, India.

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Abstract

Handwritten word recognition has been become a area of research in the field of pattern recognition. There is a rich literature available on word recognition in non-Indian scripts but limited work is available on Indian scripts. In this paper, we have presented an approach to recognize handwritten city names written in Gurmukhi script for postal automation. For recognizing words we have used a tree-diagonal feature extraction technique with SVM and k-NN classifiers. In this work, we have collected 18,000 samples of handwritten city names in Gurmukhi script. These samples have been collected from 60 different writers and each writer has written 30 city names. Using this approach, we have achieved a recognition accuracy of 90.8%.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: : Recognition, Classification, Handwritten recognition system.
Depositing User: Mr. John Steve
Date Deposited: 21 May 2019 11:44
Last Modified: 21 May 2019 11:44
URI: http://publications.theired.org/id/eprint/2608

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