Segmentation-free optical character recognition for printed Urdu text

Segmentation-free optical character recognition for printed Urdu text

Abstract This paper presents a segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition. The proposed technique relies on statistical features and employs Hidden Markov Models for classification. A total of 1525 unique high-frequen...

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Bibliographic Details
Main Authors: Israr Ud Din, Imran Siddiqi, Shehzad Khalid, Tahir Azam
Format: Article
Language:English
Published: SpringerOpen 2017-09-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Optical character recognition
Printed Urdu text
Ligature
Hidden Markov models
Clustering
Online Access:http://link.springer.com/article/10.1186/s13640-017-0208-z

Internet

http://link.springer.com/article/10.1186/s13640-017-0208-z

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