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

Zaidi Razak | Zendy; Khansa Zulkiflee | Zendy; Rosli Salleh | Zendy; Mashkuri Yaacob | Zendy; Emran Mohd Tamil | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Zaidi Razak,

Khansa Zulkiflee,

Rosli Salleh,

Mashkuri Yaacob,

Emran Mohd Tamil

Publication year - 2007

Publication title -

malaysian journal of computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.197

H-Index - 18

ISSN - 0127-9084

DOI - 10.22452/mjcs.vol20no2.5

Subject(s) - computer science , cursive , segmentation , character (mathematics) , line (geometry) , artificial intelligence , point (geometry) , character recognition , tangent , pattern recognition (psychology) , algorithm , speech recognition , mathematics , geometry , image (mathematics)

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research