Influence of zoning on whole word recognition

Author

Sherkat, Nasser

Author_Institution

Sch. of Comput. & Informatics, Nottingham Trent Univ., UK

fYear

2005

fDate

29 Aug.-1 Sept. 2005

Firstpage

1085

Abstract

This paper presents the investigations carried out in improving the performance of a holistic cursive word recogniser using approximating splines. The holistic cursive word recogniser and the spline based zone line extraction mechanism are described. A series of tests are carried out using 3600 word images from 18 writes and a 200 word lexicon to compare the performance of the histogram based zone extraction with that of the spline based approach and the results are presented. It is found that the spline based zone extraction significantly improves the recognition results. The future directions of the research for further improvement of recognition performance are presented.

Keywords

character recognition; document image processing; word processing; approximating splines; histogram-based zone extraction; holistic cursive word recogniser; spline-based zone extraction; word images; word lexicon; word recognition; zone line extraction; Bars; Feature extraction; Handwriting recognition; Histograms; Image databases; Image recognition; Image segmentation; Informatics; Intelligent systems; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on

ISSN

1520-5263

Print_ISBN

0-7695-2420-6

Type

conf

DOI

10.1109/ICDAR.2005.142

Filename

1575711