Arabic handwriting recognition using variable duration HMM

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2, Issue , 2007, Pages 644-648

  Kundu, Amlan ^a   Hines, Tom ^a   Phillips, Jon ^a   Huyck, Benjamin D ^a   Van Guilder, Linda C ^a  

^a MITRE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); COMPUTER NETWORKS; FEEDFORWARD NEURAL NETWORKS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; LEARNING SYSTEMS; MARKOV PROCESSES; PROBABILITY; PROBABILITY DISTRIBUTIONS; VECTORS;

DOCUMENT ANALYSIS; INTERNATIONAL CONFERENCES; SHAPE INFORMATION;

RISK ASSESSMENT;

EID: 51149102464     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2007.4376994     Document Type: Conference Paper

References (7)

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2. M.-Y. Chen, A. Kundu, and S. N. Srihari. Variable duration hidden Markov model and morphological segmentation for handwritten word recognition. IEEE Trans. on Image Processing, 4(12), 1995.
3. L. R. Rabiner. A tutorial on hidden Markov model and selected applications in speech recognition. Proceeding of IEEE, 77(2):257-286, 1989.
4. C. H. S. Alma'adeed and D. Elliman. Recognition of offline handwritten arabic words using hidden markov model approach. Proceedings of 16th International Conference on Pattern Recognition, 3:481-484, 2002.
5. Y. L. S. Kanoun, A. Ennaji and A. M. Almi. Linguistic infornation integration in the aabtas arabic text analysis system. Proceedings of International Workshop on Handwriting Recognition, 8:389-394, 2002.
6. J. Shlens. A tutorial on principal component analysis. http://www.cs.cmu.edu/ elaw/papers/pca.pdf, pages 1-13, 2007.
7. M. P. V. Margner and H. E. Abed. Icdar 2005 arabic handwriting competition. Proceedings of ICDAR, 1:574-578, 2005.