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Using a circular grid for offline handwritten character recognition

conference contribution
posted on 2011-01-01, 00:00 authored by X Wang, Atul SajjanharAtul Sajjanhar
Offline handwritten recognition is more challenging as indicated by the recognition technologies. This study demonstrates significantly higher rates recognition when compared with other comparable studies. In this paper, we present a circular grid zoning method applied on Polar transformation recognition system. It compares the circular grid zoning (CGZ) and standard zoning (SZ) feature extraction method on Polar and Cartesian coordinate system. We report recognition rates of 92.3%, which are considerably higher than previous studies of zoning based Polar transformation system (86.6%) and zoning based Cartesian recognition system (80.6%). Based on the finding, we propose that our circular grid zoning based Polar transformation system may provide improved classification rates for complex offline handwritten recognition.

History

Event

International Congress on Image and Signal Processing (4th : 2011 : Shanghai, China)

Pagination

945 - 949

Publisher

IEEE

Location

Shanghai, China

Place of publication

[Piscataway, N.J.]

Start date

2011-10-15

End date

2011-10-17

ISBN-13

9781424493067

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2011, IEEE

Title of proceedings

CISP 2011 : Proceedings, the 4th International Congress on Image and Signal Processing, 15-17 October 2011, Shanghai, China

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