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