Handwritten Jawi words recognition using hidden Markov models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Handwritten Jawi recognition is a challenging task because of the cursive nature of the writing. In manuscript writings, words are writer-dependent. The recognition task of Jawi Manuscript still opens problem due to the existence of many difficulties, such as the variability of character shape, overlap and presence of ligature in manuscript words. This paper describes a technique of Jawi word recognition using Hidden Markov Model (HMM). The technique of segmentation-free method used to transform word image into sequences of frames. The geometrical features are extracted using sliding window from each observation frame sequence. Besides, baseline parameters of Jawi word are use in the calculation of black pixel density. Vector Quantization clusters these features and assigns them into symbols that will be used as HMM input. Experiments have been conducted on 579 images of 100 words lexicon of Syair Rakis manuscript, and the recognition rate has reached 84 percent recognition.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume2
DOIs
Publication statusPublished - 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur
Duration: 26 Aug 200829 Aug 2008

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CityKuala Lumpur
Period26/8/0829/8/08

Fingerprint

Hidden Markov models
Vector quantization
Pixels
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Redika, R., Omar, K., & Nasrudin, M. F. (2008). Handwritten Jawi words recognition using hidden Markov models. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 2). [4631723] https://doi.org/10.1109/ITSIM.2008.4631723

Handwritten Jawi words recognition using hidden Markov models. / Redika, Remon; Omar, Khairuddin; Nasrudin, Mohammad Faidzul.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008. 4631723.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Redika, R, Omar, K & Nasrudin, MF 2008, Handwritten Jawi words recognition using hidden Markov models. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 2, 4631723, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631723
Redika R, Omar K, Nasrudin MF. Handwritten Jawi words recognition using hidden Markov models. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2. 2008. 4631723 https://doi.org/10.1109/ITSIM.2008.4631723
Redika, Remon ; Omar, Khairuddin ; Nasrudin, Mohammad Faidzul. / Handwritten Jawi words recognition using hidden Markov models. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008.
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