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A Real-Time Line Segmentation Algorithm for An Offline Overlapped Handwritten Jawi Character Recognition Chip

Zaidi Razak, and Khansa Zulkiflee, and Rosli Salleh, and Mashkuri Yaacob, and Emran Mohd Tamil, (2007) A Real-Time Line Segmentation Algorithm for An Offline Overlapped Handwritten Jawi Character Recognition Chip. Malaysian Journal of Computer Science, 20 (2). ISSN 0127-9084

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Official URL: http://ejum.fsktm.um.edu.my/ArticleInformation.aspx?ArticleID=552

Affiliations

University of Malaya. Faculty of Computer Science & Information Technology

Abstract

Overlapped characters between upper and lower lines can cause a major problem in line segmentation of cursive characters such as Jawi (similar to Arabic characters). In this paper we will discuss our fast approach using a tangent value to find a separation point (SP) for accurate line segmentation without data loss. This approach will be used to design a dedicated Jawi Character Recognition Chip with the objective of obtaining 90% recognition accuracy.

Item Type:Journal
Keywords:Jawi, Segmentation, Overlapped
Subjects:Q Science
T Technology
ID Code:1615

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