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

Main Article Content

Zaidi Razak
Khansa Zulkiflee
Rosli Salleh
Mashkuri Yaacob
Emran Mohd Tamil

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.

Downloads

Download data is not yet available.

Article Details

How to Cite
Razak, Z., Zulkiflee, K., Salleh, R., Yaacob, M., & Mohd Tamil, E. (2007). A Real-Time Line Segmentation Algorithm for An Offline Overlapped Handwritten Jawi Character Recognition Chip. Malaysian Journal of Computer Science, 20(2), 171–182. Retrieved from https://mojem.um.edu.my/index.php/MJCS/article/view/6306
Section
Articles

Most read articles by the same author(s)

1 2 > >>