An improved Artificial Immune Recognition System for off-line handwritten signature verification

This paper introduces an improved implementation of Artificial Immune Recognition System (AIRS) to solve the automatic off-line handwritten signature verification. Conventionally, the AIRS training provide a set of memory cells that are used with a k-Nearest Neighbors decision to classify test patterns. In order to improve the verification ability, we propose to substitute the k-NN classification by a trainable decision function using SVM classifier. In addition, for signature characterization, new gradient local binary pattern features are introduced. Experiments are conducted on CEDAR and GPDS-300 corpuses. The results show that the proposed algorithm overcomes the conventional AIRS-kNN by more than 9% in the average error rate. Also, it gives similar and sometimes better performance than the state of the art.

[1]  Sandeep Mandliya,et al.  A comparison of SVM and HMM classifiers in the off-line signature verification , 2015 .

[2]  Oguz Findik,et al.  A color image watermarking scheme based on artificial immune recognition system , 2011, Expert Syst. Appl..

[3]  Jonathan Timmis,et al.  Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm , 2004, Genetic Programming and Evolvable Machines.

[4]  Robert Sabourin,et al.  Off-line signature verification using fuzzy ARTMAP neural network , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[5]  Flávio Bortolozzi,et al.  Off-line signature verification, without a priori knowledge of class /spl omega//sub 2/. A new approach , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

[6]  Lingxi Peng,et al.  A handwritten character recognition algorithm based on artificial immune , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[7]  Yuan Yan Tang,et al.  Improved class statistics estimation for sparse data problems in offline signature verification , 2005, IEEE Trans. Syst. Man Cybern. Part C.

[8]  Vladimir Vapnik,et al.  The Nature of Statistical Learning , 1995 .

[9]  A. B. Watkins,et al.  A resource limited artificial immune classifier , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[10]  Sargur N. Srihari,et al.  On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Walmir M. Caminhas,et al.  A novel Artificial Immune System for fault behavior detection , 2011, Expert Syst. Appl..

[12]  Bhabatosh Chanda,et al.  Writer-independent off-line signature verification using surroundedness feature , 2012, Pattern Recognit. Lett..

[13]  Robert Sabourin,et al.  Dynamic selection of generative-discriminative ensembles for off-line signature verification , 2012, Pattern Recognit..

[14]  Hassiba Nemmour,et al.  Topological and textural features for off-line signature verification based on artificial immune algorithm , 2014, 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

[15]  R. Larkins,et al.  Adaptive Feature Thresholding for off-line signature verification , 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.

[16]  A. N. Rajagopalan,et al.  Off-line signature verification using DTW , 2007, Pattern Recognit. Lett..

[17]  Liming Chen,et al.  Image region description using orthogonal combination of local binary patterns enhanced with color information , 2013, Pattern Recognit..

[18]  Hassiba Nemmour,et al.  Artificial immune system for handwritten Arabic word recognition , 2013, Third International Conference on Innovative Computing Technology (INTECH 2013).

[19]  Halife Kodaz,et al.  Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease , 2009, Expert Syst. Appl..

[20]  Bobby R. Hunt,et al.  A multiresolution approach to computer verification of handwritten signatures , 1995, IEEE Trans. Image Process..

[21]  Bhabatosh Chanda,et al.  A writer-independent off-line signature verification system based on signature morphology , 2010, IITM '10.

[22]  Sargur N. Srihari,et al.  Offline Signature Verification And Identification Using Distance Statistics , 2004, Int. J. Pattern Recognit. Artif. Intell..

[23]  Inan Güler,et al.  A different approach to off-line handwritten signature verification using the optimal dynamic time warping algorithm , 2008, Digit. Signal Process..

[24]  Hassiba Nemmour,et al.  Off-line signature verification using artificial immune recognition system , 2013, 2013 International Conference on Electronics, Computer and Computation (ICECCO).

[25]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[26]  Enrique Frías-Martínez,et al.  Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition , 2006, Eng. Appl. Artif. Intell..

[27]  Tan Yee Fan,et al.  A Tutorial on Support Vector Machine , 2009 .

[28]  Satoshi Goto,et al.  Gradient Local Binary Patterns for human detection , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[29]  Christopher J. C. Burges,et al.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.

[30]  Yu Yang.  Application of artificial immune system in handwritten Russian uppercase character recognition , 2011, 2011 International Conference on Computer Science and Service System (CSSS).