Comparative study of Devanagari handwritten and printed character & numerals recognition using Nearest-Neighbor classifiers

In this paper we are using Devanagari script OCR for recognition. The handwritten data set is created by us and for printed characters we have used ISM font. Here we are using gradient and curvature based feature extraction method. We have compared Nearest Neighbor, K-Nearest Neighbor, Euclidian Dis...

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Bibliographic Details
Main Authors: Holambe, A N, Holambe, S N, Thool, R C
Format: Conference Proceeding
Language:English
Subjects:
Argon
Artificial neural networks
curvature
Devanagari
gradient
Nearest Neighbor
Pixel
Online Access:Request full text
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Summary:In this paper we are using Devanagari script OCR for recognition. The handwritten data set is created by us and for printed characters we have used ISM font. Here we are using gradient and curvature based feature extraction method. We have compared Nearest Neighbor, K-Nearest Neighbor, Euclidian Distance-based K-NN, Cosine Similarity -based K-NN, Condensed Nearest Neighbor, Reduced Nearest neighbor, Farthest like neighbor and Nearest unlike Neighbor.
DOI:10.1109/ICCSIT.2010.5565024