dc.identifier.citation | Abdullah, A.A. & Shaharum, S.M., (201) “Lung Cancer Cell Classification Method Using Artificial Neural Networ” Information Engineering Letters, Vol. 2(1), pp.48-57. Abikoye, O.C., Mabayoje, M.A. & Ajibade, R., (2011), “Offline Signature Recognition & Verification using Neural Network” International Journal of COmputer Applications, Vol. 35(2), pp.44-51. Bastaki, Y.A., (2009) “An Artificial Neural Network Based on Line Monitoring Odor Sensing System” Jorunal of Computer Science, Vol. 5(11), pp.878-82. Basu, J.K., Bhattacharyya, D. & Kim, T., (2010) “Use of Artificial Neural Network in Pattern Recognition” International Journal of Software Engineering and Its Applications, Vol. 4(2), pp.23-34. Bhatia, M., (2010) “Offline Hand Written Signature Verification Using Neural Network” International Journal of Application or Innovation in Engineering & Management (IJAIEM), Vol. 4(3), pp.59-66. Bhattacharyya, D. & Kim, T., (2010) “Design of Artificial Neural Network for Handwritten Signature Recognition” International journal of Computers and Communications, Vol. 4(3), pp.59-66. Choudhary, Y.N. & Chaudhari, B.M., (2013) “Signature Recognition & Verification System Using Back Propagation Neural Network” International Journal of IT, Engineering and Applied Scences Research (IJIEASR), Vol. 2(1), pp.1-8. Daramola, S.A. & Ibiyemi, T.S., (2010) “Offline Signature Recognition Using Hidden Markov Model (HMM)” International Journal of Computer Application, Vol. 10(2), pp.17-22. Dewan, U. & Ashraf, J., (2012) “Offline Signature Verification Using Neural Networ” International Journal of Computational Engineering & Management, Vol. 15(4), pp.50-54. Ganatra, A., Panchal, M. & Koruga, P., (2011) “Handwritten Signature Identification Using Basic Concepts of Graph Theory” WSEAS Transactions on SIgnal Processing, Vol. 4(7), pp.117-29. Haleem, M.G.A., George, L.E. & Bayti, H.M., (2014) “Fingerprint Recognition Using Haar Wavelet Tranformastion and Local Ridge Attributes Only” International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 4(1), pp.122-30. Kalera, M.K., Srihari, S. & Xu, A., (2004) “Offline Signature Verification and Indentification Using Distance Statistics” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18(7), pp.1339-60. Kaur, M. & Kaur, G.,( 2013) “A Survey on Implementation of Discrete Wavelet Transform for Image Denoising” International Jorunal of Communication Networking System, Vol. 2(1), pp.158-63. Khamdi, M., 2013. Solo pos. [Online] (1) Available at: www.solopos.com [Accessed 4 Oktober 2014]. Kisku, D.R., Gupta, P. & Sing, J.K., (2010) “Offline Signature Identification by Fusion of Multiple Classifier Using Statistical learning Theory” International Journal of Security and Its Application, Vol. 2(1), pp.1-6. Kosbatwar, S.P. & Pathan, S.K., (2012) “Pattern Association for Character Recognition by Back Propagation Algorithm Using Neural Network Approach” International of Computer Science & Engineering Survey (IJCSES), Vol. 3(1), pp.127-34. Kumar, L.R., (2012) “Genuine and Forged Offline Signature Verification Using Backpropagation Neural Network” International Journal of Computer Science and Infromation Technologies, Vol. 4(9), pp.1798-504. Kumar, S., Raja, K.B., Chhotaray, R.K. & Pattanaik, S., (2010) “Offline Signature Verification Based on Fusion of Grid and Global Feature Using Neural Networks” International Journal of Engineering Science and Technology, Vol. 2(12), pp.7035-44. Mohammadzade, M. & Ghonodi, A., (2012) “Persian Offline Signature Recognition with Structural and Rotation Invariant Features Using by One Against All SVM” International Journal of Engineering and Advanced Technology (IJEAT), Vol. 2(2), pp.260-63. Oladele, T. O., Adewole, K. S., Oyelami, A. O., (2014) “Forged Signature Detection Using Artificial Neural Network” Artificial Journal of Computing & ICT, Vol. 7(3), pp. 11-20. Patil, P.G. & Hegadi, R.S., (2013) “Offline Handwritten Signature Classification Using Wavelet and Support Vector Machines” International Journal of Engineering Science and Innovative Technology, Vol. 2(4), pp.573-79. Radmehr, M., Anisheh, S.M., Nikpur, M. & Yaseri, A., (2011) “Designing an Offline Method for Signature Recognition” World Applied Sciences Journal, Vol. 13(2), pp.438-43. Sharma, P., Malik, S., Sehgal, S. & Pruthi, J., (2013) “Computer Aided Diagnosis Based on Medical Image Processing and Artificial Intelegence Method” International Journal of Information and Computation Technology, Vol. 3(9), pp.887-92. Sthapak, S., Khopade, M. & Kashid, C., (2013) “Artificial Neural Network Based Signature Recognition & Verification” International Jorunal of Emerging Technology and Advanced Engineering, 3(8), pp.191-97. Telagarapu, P., Naveen, V.J., Prasanthi, A.L. & Santhi, G.V., (2011) “Image Compression Using DCT and Wavelet Transformation” International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 4(3), pp.61-74. Verma, D. & Dubey, S., (2013) “Static Signature Recognition System for User Authentication Based Two Level Cog, Hough Tranform and Neural Network” International Journal of Engineering Sciences & Emerging Technologies, Vol. 6(3), pp.335-43. Verma, R. & Goel, A., (2011) “Wavelet Application in Fingerprint Recognitio” International Jorunal of Soft Computing and Engineering, Vol. 1(4), pp.129-34. Verma, R. & Rao, D., (2013) “Offline Signature Verification and Identification Using Angle Feature and Pixel Density Feature and Both Method Together” International Journal of Soft Computing and Engineering, Vol. 2(4), pp.740-46. Yadav, M., Kumar, A., Patnaik, T. & Kumar, B., (2013) “A Survey on Offline SignatureVerification” International Journal of Engineering and Inovative Technology, Vol. 2(7), pp.337-40 | in_ID |