Title of article :
A REAL-TIME LINE SEGMENTATION ALGORITHM FOR AN OFFLINE OVERLAPPED HANDWRITTEN JAWI CHARACTER RECOGNITION CHIP
Author/Authors :
Razak, Zaidi university of malaya - Faculty of Computer Science and InformationTechnology, Malaysia , Zulkiflee, Khansa university of malaya - Faculty of Computer Science and Information Technology, Malaysia , Salleh, Rosli university of malaya - Faculty of Computer Science and Information Technology, Malaysia , Yaacob, Mashkuri university of malaya - Faculty of Computer Science and Information Technology, Malaysia , Tamil, Emran Mohd university of malaya - Faculty of Computer Science and Information Technology, Malaysia
From page :
171
To page :
182
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.
Keywords :
Jawi , Segmentation , Overlapped
Journal title :
Malaysian Journal of Computer Science
Journal title :
Malaysian Journal of Computer Science
Record number :
2571867
Link To Document :
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