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Feb 2024 - Volume 15, Issue 1
Deadline: 15 Jan 2024
Publication: 20 Feb 2024
Apr 2024 - Volume 15, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
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MOMENT AND DENSITY BASED HADWRITTEN MARATHI NUMERAL RECOGNITION |
Authors |
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S. M. Mali |
Keywords |
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Handwritten numerals, moment, density, NN, K-NN, SVM classifier. |
Issue Date |
: |
Oct-Nov 2012 |
Abstract |
: |
In this paper, we present an OCR for handwritten Marathi Numerals recognition using two sets of features, namely, density and central moments. Central moments of order 3 and 4 are computed globally for the numeral image while density features are computed by dividing the numeral image into different zones. The combined features are fed to the classifiers namely, minimum distance, k-nearest neighbor (k-NN) and Support Vector Machines (SVM) to classify the unknown numeral patterns. The proposed method provided encouraging results. |
Page(s) |
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707-712 |
ISSN |
: |
0976-5166 |
Source |
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Vol. 3, No.5 |
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