Generalized Hough Transform for Arabic Printed Optical Character Recognition

International Arab Journal of Information Technology (IAJIT)

Maryam Madani¹  Shadpour Mallakpour² 

[1]Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$

[2]Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Department of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. IranDepartment of Chemistry, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$Nanotechnology and Advanced Materials Institute, Isfahan University of Technology, Isfahan 84156-83111, I. R. Iran$$

关键词: Generalized Hough transform;    Arabic printed optical character recognition;    printed cursive writing;    segmentation by recognition techniques.;   

DOI  :  

学科分类：计算机科学（综合）

来源: Zarqa University

【 摘 要 】

The Hough Transform (HT) is a technique commonly used in image processing. It is known for its capacity to detect objects in a given image. In the present paper, we propose to explore the properties of the HT and the use of the Generalized HT (GHT) in Arabic Optical Character Recognition (AOCR). Hence, we first present a GHT based approach for the recognition of Arabic printed characters in their different shapes depending on their position in the word. Accordingly character models are stored in a structure called dictionary which is used further for text recognition. In fact, we have proposed two segmentation-by-recognition techniques for cursive printed writing recognition. The first one uses a technique by a dynamic sliding window. The second one is based on the identification and the localisation of the characters within a word or a part of a word called also sub word. Some outcomes of this study are also assessed in this paper. Keywords: Generalized Hough transform, Arabic printed optical character recognition, printed cursive writing, segmentation by recognition techniques.Received July 6, 2004; accepted November 1, 2004  Full Text

【 授权许可】

Unknown