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Proceedings Paper

System for Oriya handwritten numeral recognition
Author(s): N. Tripathy; M. Panda; U. Pal
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Paper Abstract

To take care of variability involved in the writing style of different individuals, a scheme for off-line Oriya isolated handwritten numeral recognition is presented here. Oriya is a popular script in India. The scheme is mainly based on features obtained from water reservoir concept as well as topological and structural features of the numerals. Reservoir based features like number of reservoirs, their size, heights and positions, water flow direction, topological feature like number of loops, centre of gravity positions of loops, the ratio of reservoir/loop height to the numeral height, profile based features, features based on jump discontinuity etc. are some of the features used in the recognition scheme. The proposed scheme is tested on 3550 data collected from different individuals of various background and we obtained an overall recognition accuracy of about 97.74%.

Paper Details

Date Published: 15 December 2003
PDF: 8 pages
Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); doi: 10.1117/12.530230
Show Author Affiliations
N. Tripathy, Indian Statistical Institute (India)
M. Panda, Indian Statistical Institute (India)
U. Pal, Indian Statistical Institute (India)


Published in SPIE Proceedings Vol. 5296:
Document Recognition and Retrieval XI
Elisa H. Barney Smith; Jianying Hu; James Allan, Editor(s)

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