A growing cell neural network structure for off-line signature recognition

K. Toscano-Medina; G. Sanchez-Perez; M. Nakano-Miyatake; H. Perez-Meana

doi:10.1007/3-540-45723-2_23

A growing cell neural network structure for off-line signature recognition

K. Toscano-Medina, G. Sanchez-Perez, M. Nakano-Miyatake, H. Perez-Meana

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The signature recognition is a topic of intensive research due to its great importance, among others, in the financial system. However it does not exist yet an enough reliable method for signature recognition and verification, especially in the forgeries detection. This paper presents an off-line signature recognition using features extracted from the off-line signature and an array of five growing cell neural network. The proposed system was evaluated using 950 signatures of 19 different persons. Experimental results show that proposed system achieves a fairly good recognition rate with a relatively low computational complexity.

Original language	English
Title of host publication	Bio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings
Publisher	Springer Verlag
Pages	192-199
Number of pages	8
Edition	PART 2
ISBN (Print)	9783540422372
DOIs	https://doi.org/10.1007/3-540-45723-2_23
State	Published - 2001
Event	6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 - Granada, Spain Duration: 13 Jun 2001 → 15 Jun 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	2085 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001
Country/Territory	Spain
City	Granada
Period	13/06/01 → 15/06/01

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10.1007/3-540-45723-2_23

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Toscano-Medina, K., Sanchez-Perez, G., Nakano-Miyatake, M., & Perez-Meana, H. (2001). A growing cell neural network structure for off-line signature recognition. In Bio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings (PART 2 ed., pp. 192-199). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2085 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_23

Toscano-Medina, K. ; Sanchez-Perez, G. ; Nakano-Miyatake, M. et al. / A growing cell neural network structure for off-line signature recognition. Bio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings. PART 2. ed. Springer Verlag, 2001. pp. 192-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "The signature recognition is a topic of intensive research due to its great importance, among others, in the financial system. However it does not exist yet an enough reliable method for signature recognition and verification, especially in the forgeries detection. This paper presents an off-line signature recognition using features extracted from the off-line signature and an array of five growing cell neural network. The proposed system was evaluated using 950 signatures of 19 different persons. Experimental results show that proposed system achieves a fairly good recognition rate with a relatively low computational complexity.",

author = "K. Toscano-Medina and G. Sanchez-Perez and M. Nakano-Miyatake and H. Perez-Meana",

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Toscano-Medina, K , Sanchez-Perez, G , Nakano-Miyatake, M & Perez-Meana, H 2001, A growing cell neural network structure for off-line signature recognition. in Bio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 2085 LNCS, Springer Verlag, pp. 192-199, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, Spain, 13/06/01. https://doi.org/10.1007/3-540-45723-2_23

A growing cell neural network structure for off-line signature recognition. / Toscano-Medina, K.; Sanchez-Perez, G.; Nakano-Miyatake, M. et al.
Bio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings. PART 2. ed. Springer Verlag, 2001. p. 192-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2085 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2001

Y1 - 2001

N2 - The signature recognition is a topic of intensive research due to its great importance, among others, in the financial system. However it does not exist yet an enough reliable method for signature recognition and verification, especially in the forgeries detection. This paper presents an off-line signature recognition using features extracted from the off-line signature and an array of five growing cell neural network. The proposed system was evaluated using 950 signatures of 19 different persons. Experimental results show that proposed system achieves a fairly good recognition rate with a relatively low computational complexity.

AB - The signature recognition is a topic of intensive research due to its great importance, among others, in the financial system. However it does not exist yet an enough reliable method for signature recognition and verification, especially in the forgeries detection. This paper presents an off-line signature recognition using features extracted from the off-line signature and an array of five growing cell neural network. The proposed system was evaluated using 950 signatures of 19 different persons. Experimental results show that proposed system achieves a fairly good recognition rate with a relatively low computational complexity.

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Toscano-Medina K , Sanchez-Perez G , Nakano-Miyatake M , Perez-Meana H. A growing cell neural network structure for off-line signature recognition. In Bio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings. PART 2 ed. Springer Verlag. 2001. p. 192-199. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/3-540-45723-2_23

A growing cell neural network structure for off-line signature recognition

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