Robust off-line signature verification using compression networks and positional cuttings

A novel robust technique for the off-line signature verification problem in practical real conditions is presented. The technique is based on the use of compression neural networks, and in the automatic generation of the training set from only one signature for each writer. Our proposal incorporates a new kind of acceptance/rejection rule, which is based on the similarity between subimages or positional cuttings of a test signature and the corresponding representation stored in the class compression network. Experimental results show that the proposed technique reduces significantly the false acceptation rate (FAR).

[1]  Teuvo Kohonen,et al.  Associative memory. A system-theoretical approach , 1977 .

[2]  Kurt Hornik,et al.  Neural networks and principal component analysis: Learning from examples without local minima , 1989, Neural Networks.

[3]  M. K. Fleming,et al.  Categorization of faces using unsupervised feature extraction , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[4]  Alice J. O'Toole,et al.  Low-dimensional representation of faces in higher dimensions of the face space , 1993 .

[5]  Réjean Plamondon,et al.  Automatic Signature Verification: The State of the Art - 1989-1993 , 1994, Int. J. Pattern Recognit. Artif. Intell..

[6]  Alice J. O'Toole,et al.  Connectionist models of face processing: A survey , 1994, Pattern Recognit..

[7]  Santanu Chaudhury,et al.  Signature verification using multiple neural classifiers , 1997, Pattern Recognit..

[8]  Carl G. Looney,et al.  Pattern recognition using neural networks: theory and algorithms for engineers and scientists , 1997 .

[9]  Carl G. Looney,et al.  Pattern recognition using neural networks , 1997 .

[10]  Hidetoshi Miike,et al.  An off-line signature verification system using an extracted displacement function , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

[11]  Ching Y. Suen,et al.  Automatic recognition of handwritten data on cheques - Fact or fiction? , 1999, Pattern Recognit. Lett..

[12]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[13]  Bin Fang,et al.  Off-line signature verification with generated training samples , 2002, SPIE/COS Photonics Asia.

[14]  Y. K. Wong,et al.  Offline signature verification with generated training samples , 2002 .

[15]  Hidetoshi Miike,et al.  An off-line signature verification system using an extracted displacement function , 2002, Pattern Recognit. Lett..

[16]  Flávio Bortolozzi,et al.  The interpersonal and intrapersonal variability influences on off-line signature verification using HMM , 2002, Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing.