A robust page segmentation method for Persian/Arabic documents

Authors:
M. Hassan Shirali-Shahreza;Sajad Shirali-Shahreza
Affiliations:
Computer Engineering Department, Yazd University, Yazd, Iran;Computer Engineering Department, Sharif University of Technology, Tehran, Iran
Venue:
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2005

Citing 5
Cited 0

Page segmentation using the description of the background

Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Empirical Performance Evaluation Methodology and Its Application to Page Segmentation Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer and Robot Vision

Computer and Robot Vision
Newspaper Page Decomposition Using a Split and Merge Approach

ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Arabic Newspaper Page Segmentation

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

Optical Character Recognition (OCR) softwares are widely used in the office automation systems. One of the first steps in the recognition of the documents is to segment the input image. Various methods have been offered for the English language. For the Persian/Arabic Language, however, no complete method has been found yet. In this paper we present a new page segmentation method for Persian/Arabic printed texts. This method has been inspired by the effect of the spreading of ink on paper. One of the most important characteristics of this method is its non-sensitivity to rotation.