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GVIP
On-line Structural Approach for Recognizing  Hand-Written Indian Numbers
 
Ibrahiem M. M. El Emary and Mustafa M. Hammad
Faculty of Engineering, Amman Al Ahlyia University, Amman , Jordan
Abstract:
In this paper, a structural pattern recognition approach is proposed to identify on-line handwritten Indian numbers. The proposed technique depends on the direction between the current pixel and the next new pixel that drawn by the user. Then, use this directions sequence to extract the shape’s primitives. Matching process uses the predefined models of sorted primitives for each digit to identify it. Experimental results show that the recognition rate is 94.87% for the drawn shapes. When the rejected cases are excluded from the calculation, the rate can be increased to 98.07%.
 
Keywords:  Structural pattern recognition; Primitives extractions; On-line handwritten Indian numbers.
 
Biography:
 

Ibrahim M. El Emary was born in Menofia, Egypt, in 1957. He received the Dr. Eng. Degree in 1998 from the Electronic and Communication Department, Faculty of Engineering, Ain shams University, Egypt. In 1986, he received the Master Degree in Electronics and Communications from the Faculty of Engineering, Cairo University, Egypt. From 1998 to 2002, he was an Assistant Professor of Computer sciences in different faculties and institutes in Egypt. Currently, he is a visiting assistant Professor at Amman Al Ahliyya University, Amman, Jordan. His research interests include: analytic simulation techniques, performance evaluation of communication networks, application of intelligent techniques in managing computer communication network, and performing a comparative studies between various policies and strategies of routing, congestion, subnetting of computer communication networks.

 

Mustafa M. Hammad was born in Saudi Arabia, in 1981. He received his Masters degree in computer science rom Al-Balqa Applied University, Salt, Jordan, in 2005. He received his B.Sc. in computer science from the Hashemite University, Zarqa, Jordan, in 2002. currently, he is a research assistant in Al-Balqa Applied University. His research interests are: Pattern recognition, Applications of AI in computer communication network design, and computer vision. 

BibTex:

@ARTICLE{P1150527004,

AUTHOR = {Ibrahiem M. M. El Emary and Mustafa M. Hammad},

TITLE = {On-line Structural Approach for Recognizing Hand-Written Indian Numbers},

JOURNAL = {ICGST International Journal on Graphics, Vision and Image Processing},

YEAR = {2005},

MONTH = {July},

VOLUME = {05},

ISSUE = {7},

PAGES={21--26}

}

( Full paper 527 KB)