Thursday 21st of September 2017
 

A Fuzzy Based Feature Extraction Approach for Handwritten Characters


Mahmood K Jasim, Anwar M Al-Saleh and Alaa Aljanaby

This paper describes a technique that can be used to generate fuzzy rules to extract the features of handwritten characters. The feature extraction is a complicated problem as different people write the same character in different ways. The development of a technique that can generate the description of handwritten characters is still a challenge for the handwritten recognition systems. The fuzzy logic offers a good opportunity to build a rule-based feature extraction technique for handwritten characters with low computational cost.

Keywords: Feature Extraction, Handwritten Characters, Fuzzy Logic.

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ABOUT THE AUTHORS

Mahmood K Jasim
Mahmood K Jasim is an Associate Professor and head of the Department of Mathematical and Physical Sciences, College of Arts and Sciences, University of Nizwa, Oman. His research interests are Mathematical Modeling, Mathematical Physics, Differential Equations and its application, Numerical Analysis, Artificial Neural Networks and Fuzzy logic.

Anwar M Al-Saleh
Anwar M Al-Saleh is a Lecturer at Computer Science Department, College of Sciences, Al-Mustansiriyah University, Baghdad, IRAQ. Her research interests are Fuzzy Logic and Image processing.

Alaa Aljanaby
Alaa Aljanaby is an IEEE member, Assistant Professor and head of the Computer Science Section, Department of Mathematical and Physical Sciences, College of Arts and Sciences, University of Nizwa, Oman. His research interests are soft computing, bio-inspired optimization algorithms, combinatorial optimization problems, persuasive technology, opinion mining and image processing


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