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Reseach Article

Zone Based Features for Handwritten and Printed Mixed Kannada Digits Recognition

Published on None 2011 by B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 7
None 2011
Authors: B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge
e507a7d9-b2c2-4ae5-9284-62fb2cb792f5

B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge . Zone Based Features for Handwritten and Printed Mixed Kannada Digits Recognition. International Conference on VLSI, Communication & Instrumentation. ICVCI, 7 (None 2011), 5-8.

@article{
author = { B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge },
title = { Zone Based Features for Handwritten and Printed Mixed Kannada Digits Recognition },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 7 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/icvci/number7/2673-1314/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A B.V.Dhandra
%A Gururaj Mukarambi
%A Mallikarjun Hangarge
%T Zone Based Features for Handwritten and Printed Mixed Kannada Digits Recognition
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 7
%P 5-8
%D 2011
%I International Journal of Computer Applications
Abstract

In the field of Optical Character Recognition (OCR), zoning is used to extract topological information from patterns. In this paper we propose Zone based features for recognition of the mixer of Handwritten and Printed Kannada Digits. A digit image is divided into 64 zones and pixel density is computed for each zone. This procedure is sequentially repeated for entire zone. Finally 64 features are extracted for classification and recognition. There could be some zone column/row having empty foreground pixels. Hence the feature value of such particular zone column/row in the feature vector is zero. The KNN and SVM classifiers are used to classify the mixed handwritten and printed Kannada digits. We have obtained 97.32% & 98.30% recognition rate for mixed handwritten and printed Kannada digits by using KNN and SVM classifiers respectively.

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Index Terms

Computer Science
Information Sciences

Keywords

OCR Zone Features KNN SVM