Offline Jawi handwritten recognizer using hybrid artificial neural networks and dynamic programming

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

6 Citations (Scopus)

Abstract

This paper describes an offline Jawi handwritten recognizer using hybrid Artificial Neural Networks (ANN) as the character recognizer and Viterbi Dynamic Programming as verifier. We use a recognition-based segmentation approach to solve character segmentation problems. Segmented sub words images are segmented into a fixed width slices. The combinations of the slices form a segmentation graph. Two-layers of Back Propagation Neural Networks compute probabilities for each character hypotheses in the segmentation graph. Viterbi Dynamic Programming selects the maximum average probability of a character hypothesis combination from all possibility in segmentation graph. This system evaluates against selected word from a Jawi handwritten manuscripts. Recognition performance of the character in words presented.

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

Dynamic programming
Neural networks
Backpropagation

ASJC Scopus subject areas

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

Cite this

Heryanto, A., Nasrudin, M. F., & Omar, K. (2008). Offline Jawi handwritten recognizer using hybrid artificial neural networks and dynamic programming. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 2). [4631722] https://doi.org/10.1109/ITSIM.2008.4631722

Offline Jawi handwritten recognizer using hybrid artificial neural networks and dynamic programming. / Heryanto, Anton; Nasrudin, Mohammad Faidzul; Omar, Khairuddin.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008. 4631722.

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

Heryanto, A, Nasrudin, MF & Omar, K 2008, Offline Jawi handwritten recognizer using hybrid artificial neural networks and dynamic programming. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 2, 4631722, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631722
Heryanto A, Nasrudin MF, Omar K. Offline Jawi handwritten recognizer using hybrid artificial neural networks and dynamic programming. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2. 2008. 4631722 https://doi.org/10.1109/ITSIM.2008.4631722
Heryanto, Anton ; Nasrudin, Mohammad Faidzul ; Omar, Khairuddin. / Offline Jawi handwritten recognizer using hybrid artificial neural networks and dynamic programming. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008.
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