Thursday 28th of March 2024
 

Sine-Cosine-Taylor-Like Method for Hole-Filler ICNN Simulation


Sukumar Senthilkumar and Abd Rahni Mt Piah

Sine-Cosine-Taylor-Like method is employed to improve the performance of image or handwritten character recognition under improved cellular non-linear network environment. The ultimate aim of this paper is focused on developing an efficient design strategy for simulating hole filler under ICNN arrays with a set of inequalities satisfying its output characteristics by considering the parameter range.

Keywords: Improved Cellular Non-linear Network, Sine-Cosine-Taylor-Like Method, Hole-Filler Template, Edge Detection, Ordinary Differential Equations

Download Full-Text


ABOUT THE AUTHORS

Sukumar Senthilkumar
SUKUMAR SENTHILKUMAR was born in Neyveli Township, Cuddalore District, Tamilnadu, India on 18th July 1974. He received his B.Sc in Mathematics from Madras University in 1994, M.Sc in Mathematics from Bharathidasan University in 1996, M.Phil in Mathematics from Bharathidasan University in 1999 and M.Phil in Computer Science & Engineering from Bharathiar University in 2000. Also, he received PGDCA and PGDCH in Computer Science and Applications and Computer Hardware from Bharathidasan University in 1996 and 1997 respectively. He obtained a doctoral degree in the field of Mathematics and Computer Applications from National Institute of Technology [REC], Tiruchirappalli, Tamilnadu, India. Currently he is working as a post doctoral fellow at the School of Mathematical Sciences, Universiti Sains Malaysia in Pulau Pinang Malaysia. He was a lecturer / assistant professor in the Department of Computer Science at Asan Memorial College of Arts and Science, Chennai, Tamilnadu, India. He has published many good research papers in international conference proceedings and peer-reviewed / highly refereed international journals with high impact factor. He has made significant and outstanding contributions to various activities related to research work. He is also an associate editor, editorial board member, reviewer and referee for many scientific international journals. His current research interests include advanced cellular neural networks, advanced digital image processing, advanced numerical analysis and methods, advanced simulation and computing and other related areas.

Abd Rahni Mt Piah
ABD RAHNI MT PIAH was born in Baling, Kedah Malaysia on 8th May 1956. He received his B.A. (Cum Laude) in Mathematics from Knox College, Illinois, USA in 1979. He received his M.Sc in Mathematics from Universiti Sains Malaysia in 1986. He obtained his Ph.D in Approximation Theory from the University of Dundee, Scotland UK in 1993. He has been an academic staff member of the School of Mathematical Sciences, Universiti Sains Malaysia since 1981 and at present is an Associate Professor. He was a program chairman and deputy dean in the School of Mathematical Sciences, Universiti Sains Malaysia for many years. He has published various research papers in refereed national and international conference proceedings and journals. His current research areas include Computer Aided Geometric Design (CAGD), Medical Imaging, Numerical Analysis and Techniques and other related areas.


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »