e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Aug 2019 - Volume 10, Issue 4
Deadline: 15 Jul 2019
Notification: 15 Aug 2019
Publication: 31 Aug 2019

Oct 2019 - Volume 10, Issue 5
Deadline: 15 Sep 2019
Notification: 15 Oct 2019
Publication: 30 Oct 2019

Indexed in

ABSTRACT

Title : MOMENT AND DENSITY BASED HADWRITTEN MARATHI NUMERAL RECOGNITION
Authors : S. M. Mali
Keywords : 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) : 707-712
ISSN : 0976-5166
Source : Vol. 3, No.5