Paper Info
Title
Offline handwritten Arabic cursive text recognition using Hidden Markov Models and re-ranking
Abstract
Recognition of handwritten Arabic cursive texts is a complex task due to the similarities between letters under different writing styles. In this paper, a word-based off-line recognition system is proposed, using Hidden Markov Models (HMMs). The method employed involves three stages, namely preprocessing, feature extraction and classification. First, words from input scripts are segmented and normalized. Then, a set of intensity features are extracted from each of the segmented words, which is based on a sliding window moving across each mirrored word image. Meanwhile, structure-like features are also extracted including number of subwords and diacritical marks. Finally, these features are applied in a combined scheme for classification. Intensity features are used to train a HMM classifier, whose results are re-ranked using structure-like features for improved recognition rate. In order to validate the proposed techniques, extensive experiments were carried out using the IFN/ENIT database which contains 32,492 handwritten Arabic words. The proposed algorithm yields superior results of improved accuracy in comparison with several typical methods.
Year
DOI
Venue
2011
10.1016/j.patrec.2011.02.006
Pattern Recognition Letters
Keywords
Field
DocType
re-ranking,hidden markov models,segmented word,intensity feature,proposed algorithm yield,word-based off-line recognition system,off-line arabic handwritten recognition,handwritten arabic word,handwritten arabic cursive text,improved accuracy,proposed technique,improved recognition rate,hidden markov models (hmm),machine learning,structure-like feature,hidden markov model
Similitude,Cursive,Sliding window protocol,Pattern recognition,Computer science,Handwriting recognition,Feature extraction,Speech recognition,Preprocessor,Artificial intelligence,Classifier (linguistics),Hidden Markov model
Journal
Volume
Issue
ISSN
32
8
Pattern Recognition Letters
Citations 
PageRank 
References 
24
0.86
29
Authors
4
Name
Order
Citations
PageRank
Jawad H AlKhateeb1452.73
Jinchang Ren2114488.54
Jianmin Jiang398581.39
Husni Al-Muhtaseb4938.55