A Study of Handwritten Characters by Shape Descriptors: Doping Using the Freeman Code

Author

Gmati, C. ; Haboubi, Sofiene ; Alaqeeli, A. ; Amiri, Hamid

Author_Institution

ENIT, SITI Lab., Tunis-Belvedere, Tunisia

fYear

2012

fDate

18-20 Sept. 2012

Firstpage

285

Lastpage

290

Abstract

In this paper, we present the role of shape descriptors in the off-line recognition process of handwritten isolated Arabic and Latin characters. We will give some statistical and structural shape descriptors and mention their performance. Then we will present an hybrid approach that uses structural shapes´ descriptors from a different angle in order to improve the recognition´s results from a statistical descriptor. We will therefore introduce the concept of doping aiming to raise the recognition rate.

Keywords

handwritten character recognition; image coding; statistical analysis; Freeman code; handwritten character; handwritten isolated Arabic character; handwritten isolated Latin character; offline recognition process; statistical shape descriptor; structural shape descriptor; Doping; Encoding; Feature extraction; Gabor filters; Shape; Support vector machine classification; Vectors; doping; fourier descriptor; freeman code; shape descriptors; statistical approaches; structural approaches;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on

Conference_Location

Bari

Print_ISBN

978-1-4673-2262-1

Type

conf

DOI

10.1109/ICFHR.2012.170

Filename

6424407