Knowledge-based baseline detection and optimal thresholding for words segmentation in efficient pre-processing of handwritten arabic text

J. H. AlKhateeb, Jinchang Ren, S. Ipson, J. Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

23 Citations (Scopus)

Abstract

Techniques on detecting baseline and segmenting words in handwritten Arabic text are presented in this paper. Instead of using pure projection, knowledge of the location of the baseline is utilized for accurate baseline detection. Then, distances between words and subwords are respectively analyzed, and their statistical distributions are obtained to decide an optimal threshold in segmenting words. Results on IFN/ENIT database have validated our methods in terms of improved baseline detection and words segmentation for further recognition
Original languageEnglish
Title of host publicationProceedings of the 5th international conference on information technology
Subtitle of host publicationnew generations
EditorsS Latifi
PublisherIEEE
Pages1158-1159
Number of pages2
ISBN (Print)9780769530994
DOIs
Publication statusPublished - 2008
Event5th International Conference on Information Technology - New Generations - Las Vegas, United States
Duration: 7 Apr 20089 Apr 2008

Conference

Conference5th International Conference on Information Technology - New Generations
CountryUnited States
CityLas Vegas
Period7/04/089/04/08

Keywords

  • character-recognition

Cite this

AlKhateeb, J. H., Ren, J., Ipson, S., & Jiang , J. (2008). Knowledge-based baseline detection and optimal thresholding for words segmentation in efficient pre-processing of handwritten arabic text. In S. Latifi (Ed.), Proceedings of the 5th international conference on information technology: new generations (pp. 1158-1159). IEEE. https://doi.org/10.1109/ITNG.2008.71