Apply Multi-Layer Perceptrons Neural Network for Off-Line Signature Verification and Recognition
This paper discusses the applying of Multi-layer perceptrons for signature verification and recognition using a new approach enables the user to recognize whether a signature is original or a fraud. The approach starts by scanning images into the computer, then modifying their quality through image enhancement and noise reduction, followed by feature extraction and neural network training, and finally verifies the authenticity of the signature. The paper discusses the different stages of the process including: image pre-processing, feature extraction and pattern recognition through neural networks.
Keywords: MLP Neural network; Feature extraction; Signature verification and recognition; image processing.
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ABOUT THE AUTHORS
Suhail Odeh
Born in Bethlehem, after completing his Bachelor degree in Physics and Electronic Technology and Master Degree in Physics (2001) from Al-Quds University, he completed another Master degree (2004) and PhD degree (2006) in the Computer Engineering from the Department of Computer Architecture and Technology, University of Granada, Spain. Get an award for his thesis from University of Granada. Dr. Suhail Odeh Joins the Bethlehem University community as an Assistant professor in the Computer and information System Department in the Faculty of science at (2006). He is a member of investigation group in Granada University and has many publisher papers in international conference and journals. He is an active researcher in the field of Artificial intelligence, Brain Computer Interface, Image processing, pattern recognition.
Manal Khalil
A Palestinian graduate from Bethlehem University who received her Bachelor of Science in Computer and Information Systems in 2010. She work now as an administrative assistance in the Applied Research Institute-Jerusalem ARIJ.
Suhail Odeh
Born in Bethlehem, after completing his Bachelor degree in Physics and Electronic Technology and Master Degree in Physics (2001) from Al-Quds University, he completed another Master degree (2004) and PhD degree (2006) in the Computer Engineering from the Department of Computer Architecture and Technology, University of Granada, Spain. Get an award for his thesis from University of Granada. Dr. Suhail Odeh Joins the Bethlehem University community as an Assistant professor in the Computer and information System Department in the Faculty of science at (2006). He is a member of investigation group in Granada University and has many publisher papers in international conference and journals. He is an active researcher in the field of Artificial intelligence, Brain Computer Interface, Image processing, pattern recognition.
Manal Khalil
A Palestinian graduate from Bethlehem University who received her Bachelor of Science in Computer and Information Systems in 2010. She work now as an administrative assistance in the Applied Research Institute-Jerusalem ARIJ.
