DocumentCode
2785411
Title
A hybrid approach to character segmentation of Gurmukhi script characters
Author
Davessar, Neena Madan ; Madan, Sunil ; Singh, Hardeep
Author_Institution
Dept. of Comput. Sci. & Eng., Guru Nanak Dev Univ., Amritsar, India
fYear
2003
fDate
15-17 Oct. 2003
Firstpage
169
Lastpage
173
Abstract
A new approach to segmentation of machine printed Gurmukhi text has been suggested. This approach can easily be extended to other Indian language scripts such as Devnagri and Bangla. Most of the characters in these scripts have horizontal lines at the top called headlines. Besides, there are cases in which the characters are found touching in the scanned image, just below the headline. To resolve these issues, a two-pass mechanism is used. In pass-one it approximates the segmentation point, while in pass-two the cutting point is optimized. This approach has been very successful in segmenting a pair as well as triplets of touching characters.
Keywords
image segmentation; natural languages; optical character recognition; Bangla; Devnagri; Gurmukhi script characters; Indian language scripts; character segmentation; cutting point optimization; horizontal headlines; machine printed Gurmukhi text; segmentation point approximation; two pass mechanism; Banking; Character recognition; Conferences; Error analysis; Image recognition; Image segmentation; Office automation; Optical character recognition software; Pattern recognition; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd
Print_ISBN
0-7695-2029-4
Type
conf
DOI
10.1109/AIPR.2003.1284267
Filename
1284267
Link To Document