A Morphological Approach to Persian Handwritten Text Line Segmentation

Author

Shahraki, Abdollah Amirkhani ; Ghahnavieh, Amir Ebrahimi ; Mirmahdavi, Seyyed Abdollah

Author_Institution

Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran

fYear

2014

Firstpage

298

Lastpage

301

Abstract

This paper deals with extracting lines in handwritten Persian texts. In the presented method, at first, oblique lines and dots pertaining to words that are the main causes of two lines sticking to each other are eliminated. Then, using morphological operations, the remaining components of lines stick to one another. Finally, each line´s border is determined using contours. This method was tested on a database of the First Competition on Line Segmentation in Persian Hand- Written Documents, which was held in conjunction with the First Pattern Recognition and Image Analysis Conference (PRIA 2013) in Birjand, Iran. The results indicated proper accuracy of the proposed method.

Keywords

handwritten character recognition; image segmentation; PRIA 2013; Pattern Recognition and Image Analysis Conference; Persian hand-written documents; Persian handwritten text line segmentation; handwritten Persian texts; line extraction; morphological approach; Accuracy; Databases; Educational institutions; Image analysis; Image segmentation; Morphological operations; Pattern recognition; text line segmentaion; morphology; Persian handwritten text;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on

Print_ISBN

978-1-4799-4923-6

Type

conf

DOI

10.1109/UKSim.2014.93

Filename

7046081