Off-line signature verification and recognition: Neural network approach

This paper discusses signature verification and recognition using a new approach that depends on a neural network which enables the user to recognize whether a signature is original or a fraud. The user introduces into the computer the scanned images, modifies their quality by image enhancement and noise reduction techniques, to be 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.

[2]  Yann LeCun,et al.  Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..

[3]  James J. Filliben,et al.  NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis , 2003 .

[4]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[5]  David Zhang,et al.  Guest Editorial Special Issue on Biometric Systems , 2005 .

[6]  Nidal S. Kamel,et al.  Glove-Based Approach to Online Signature Verification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Ashraf A. Zaher,et al.  A hybrid ANN-based technique for signature verification , 2010, CI 2010.

[8]  Miguel Angel Ferrer-Ballester,et al.  Offline geometric parameters for automatic signature verification using fixed-point arithmetic , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Sebastiano Impedovo,et al.  Component-Oriented Algorithms for Signature Verification , 1994, Int. J. Pattern Recognit. Artif. Intell..

[10]  Julian Fiérrez,et al.  An Off-line Signature Verification System Based on Fusion of Local and Global Information , 2004, ECCV Workshop BioAW.

[11]  Michael C. Fairhurst,et al.  An Evaluation of Parallel Strategies for Feature Vector Construction in Automatic Signature Verification Systems , 1994, Int. J. Pattern Recognit. Artif. Intell..

[12]  R. Palaniappan,et al.  Signature Verification System using Pen Pressure for Internet and E-Commerce Application , 2001 .

[13]  Tülay Yildirim,et al.  Signature Verification Using Conic Section Function Neural Network , 2005, ISCIS.

[14]  Jesus Francisco Vargas Bonilla,et al.  Offline Signature Verification Based on Pseudo-Cepstral Coefficients , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[15]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[16]  Joseph W. Goodman,et al.  Neural networks and handwritten signature verification , 1991 .

[17]  C. Allgrove,et al.  Majority voting for improved signature verification , 2000 .

[18]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[19]  Loris Nanni,et al.  An On-Line Signature Verification System Based on Fusion of Local and Global Information , 2005, AVBPA.

[20]  Fikret Ercal,et al.  Signature recognition and verification with ANN , 2003 .

[21]  Jarrod Trevathan,et al.  Neural Network-based Hwritten Signature Verification , 2008, J. Comput..

[22]  M. Elif Karsligil,et al.  Off-line signature verification and recognition by Support Vector Machine , 2005, 2005 13th European Signal Processing Conference.