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A New Approach to the Handwritten Signature Verification Based on the Method of the Normalized Distributions
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DOI: https://doi.org/10.15866/irecos.v9i11.4536
Abstract
In this paper introduces approach identification based on the handwritten signature and an method for Verification Data Handwritten Signature based on a normalization of measurement data from special device input signatures. This approach reduces the computational complexity of identification and can be used to many fields for the classification tasks and the secure transmission between two or more systems involved in communication.
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Layth Malallah, F., Sharifah Mumtazah Syed, A., Yussof, S., Wan Adnan, W.A., Iranmanesh, V., Arigbabu, O.A., A review of biometric template protection techniques for online handwritten signature application, (2013) International Review on Computers and Software (IRECOS), 8 (12), pp. 2925-2933.
Navaneethan, C., Helen Prabha, K., Signature analyzer block for secure node entry, (2013) International Review on Computers and Software (IRECOS), 8 (4), pp. 1033-1036.
Aizi, K., Ouslim, M., A new multibiometric identification method based on a decision tree and a parallel processing strategy, (2013) International Review on Computers and Software (IRECOS), 8 (10), pp. 2507-2514.
Murukesh, C., Thanushkodi, K., Efficient multimodal biometric system based on feature level fusion of palmprint and finger vein, (2013) International Review on Computers and Software (IRECOS), 8 (12), pp. 2903-2908.
TomislavFotak, MiroslavBača, and Petra Koruga. 2011. Handwritten signature identification using basic concepts of graph theory. WSEAS Trans. Sig. Proc. 7, 4 (October 2011), 117-129.
AshwiniPansare and ShaliniBhatia Handwritten Signature Verification using Neural Network.International Journal of Applied Information Systems 1(2):44-49, January 2012. Published by Foundation of Computer Science, New York, USA.
Mohamad Hoseyn Sigari, Muhammad Reza Pourshahabi, Hamid Reza Pourreza. Offline Handwritten Signature Identification and Verification Using Multi-Resolution Gabor Wavelet. CiiT International Journal of Biometrics and Bioinformatics. 01/2011; 5(4):234-248.
http://dx.doi.org/10.1109/socpar.2009.132
E. Frias-Martinez, A. Sanchez, J. Velez. Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition. Engineering Applications of Artificial Intelligence. Volume 19, Issue 6, September 2006, pp. 693–704.
http://dx.doi.org/10.1016/j.engappai.2005.12.006
Juan J. Igarza, IñakiGoirizelaia, Koldo Espinosa, InmaculadaHernáez, Raúl Méndez, Jon Sánchez. Online Handwritten Signature Verification Using Hidden Markov Models. Progress in Pattern Recognition, Speech and Image Analysis. Lecture Notes in Computer Science Volume 2905, 2003, pp 391-399.
http://dx.doi.org/10.1007/978-3-540-24586-5_48
Maged M.M. Fahmy, Online handwritten signature verification system based on DWT features extraction and neural network classification, Ain Shams Engineering Journal, Volume 1, Issue 1, September 2010, Pages 59-70.
http://dx.doi.org/10.1016/j.asej.2010.09.007
Pradeep Kumar, Shekhar Singh Ashwani, Garg NishantPrabhat Hand Written Signature Recognition & Verification using Neural Network. (2013) International Journal of Advanced Research in Computer Science and Software Engineering. Volume 3, Issue 3, March 2013.
PrashanthC.r, K B Raja, K R Venugopal and L M Patnaik. Article: DWT based Offline Signature Verification using Angular Features. International Journal of Computer Applications 52(15):40-48, August 2012. Published by Foundation of Computer Science, New York, USA.
http://dx.doi.org/10.5120/8280-1929
Olaf Henniger, Sascha Müller. Handwritten Signature On-Card Matching Performance Testing. Biometric ID Management and Multimodal Communication. Lecture Notes in Computer Science Volume 5707, 2009, pp. 268-275
http://dx.doi.org/10.1007/978-3-642-04391-8_35
T.I. Lapina Information approach to creation of models of objects in monitoring systems [Text] / Lapina T.I.// Information measuring and managing directors of system .№7, т. 8, 2010. р. 39-42.
Patentnumber2500986, IPCG01B 21/32DIGITALSENSORmulticomponent//Pretty LittleVA,TILapinLapinDVApplication2011148314/28dated 28.11.2011, publ. 10/12/2013, Byul.№34.
Patentnumber469397Russian Federationbiometricmethodauten-ratification by the handwritinginthe computerizedaccess control system/Pretty LittleVALapinDVLapinaTIApplication№ 2011140031/08, 30.09.2011,publ.10.12.2012, Byul.№34.
T.I. Lapina The analysis and forecasting of casual processes on the basis of a method of rationing of data systems [Text] // Information measuring and managing directors of system .№10, т. 6, 2008. p. 76-81.
T.I. Lapina Creation of biometric control and management systems by access on hand-written handwriting [Text] / Lapina T.I., Lapin D.V., Petric E.A.// High technologies, №8, т.13, 2012. p. 10-12.
RF patentnumber2475699, IPCG01B7 /00measuring deviceofmoving-pen point //Pretty LittleVA,TILapinLapinDVApplication: 2011113800/28, 08.04.2011, publ. 20.02.04.2013,Bul.№5
T.I. Lapina Information approach to creation of models of objects in monitoring systems [Text] / Lapina T.I.// Information measuring and managing directors of system .№7, т. 8, 2010. р. 39-42.
12. Lapina, T.I. The Series Forecasting Based on Data Normalization Methods /T.I.Lapina// RevtstaEiDOS, Numero 4, pp. 23-38, augosto 2011. Spain
T.I. Lapina The analysis and forecasting of casual processes on the basis of a method of rationing of data systems [Text] // Information measuring and managing directors of system .№10, т. 6, 2008. p. 76-81.
T.I. Lapina Creation of biometric control and management systems by access on hand-written handwriting [Text] / Lapina T.I., Lapin D.V., Petric E.A.// High technologies, №8, т.13, 2012. p. 10-12.
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