DocumentCode :
3139984
Title :
A simple invariant mapping applied to hand-written pre-segmented character recognition
Author :
Kharma, Nawwaf N. ; Ward, Rabab K.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
fYear :
1999
fDate :
20-22 Sep 1999
Firstpage :
41
Lastpage :
44
Abstract :
The paper describes an application of a novel (position, rotation, and size) invariant mapping, one that is intended for use in online handwritten character recognition. The mapping is as simple as any similar mapping we know of. This makes it computationally efficient and fast, which in turn makes it appropriate for online implementations. A recognition system utilising this mapping has been developed for handwritten Arabic characters. Character recognition is carried out via a decision tree-like classification system based mainly (but not solely) on simple features of the mapped pattern
Keywords :
decision trees; handwriting recognition; handwritten character recognition; image classification; natural languages; optical character recognition; decision tree-like classification system; handwritten Arabic characters; handwritten pre-segmented character recognition; invariant mapping; mapped pattern; online handwritten character recognition; online implementations; recognition system; Application software; Argon; Character recognition; Classification tree analysis; Fast Fourier transforms; Hardware; Identity-based encryption; Shape; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location :
Bangalore
Print_ISBN :
0-7695-0318-7
Type :
conf
DOI :
10.1109/ICDAR.1999.791720
Filename :
791720
Link To Document :
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