Efficient Signatures Verification System Based on Artificial Neural Networks
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Karouni, A. , Daya, B. and Bahlak, S. (2011). Offline Signature Recognition Using Neural Networks Approach. World Conference on Information Technology –Bhacesehir University. Science Direct, 2 -4.
Kaur, R. , and Aujla, G.S. (2014). Review on: Enhanced Offline Signature Recognition Using Neural Network and SVM. International Journal of Computer Science and Information Technologies, 5 (3) 1 -4.
Biswas, S. , Kim, T.K. , and Bhattacharyya, D. (2010). Features Extraction and Verification of Signature Image using Clustering Technique. International Journal of Smart Home. 4 (3), 2 – 10.
Jarad,M. , Al-Najdawi, N. and Tedmori,S. (2014). Offline Handwritten Signature Verification System Using a Supervised Neural Network Approach. 2014 6th International Conference on CSIT. 2 -6
Choudhary, N.Y. , Patil, R. Bhadade, U. and Chaudhari, B.M. (2013). Signature Recognition & Verification System Using Back Propagation Neural Network. International Journal of IT, Engineering and Applied Sciences Research. 1 – 7.
Malekar, M.D. and Patel, S. (2013). Off-line Signature Verification Using Artificial Neural Network. International Journal of Emerging Technology and Advanced Engineering. 3 (9). 1 – 4.
Sthapak, S. , Khopade, M. , and Kashid, C. (2013). Artificial Neural Network Based Signature Recognition & Verification. International Journal of Emerging Technology and Advanced Engineering, 3(8). 2 – 7.
Kovari, B. , and Charaf, H. (n.d.). Feature matching in off-line signature verification. Recent Researches in Communications and Computers. 2 - 4.
Jambi, K. (2001). “Different Approaches for Arabic Signature recognition”, Al-Azhar University Engineering Journal, vol. 12, 45-53.
Nguyen, Vu. , Blumenstein, M. , and Leedham, G. (2009). Global Features for the Off-Line Signature Verification Problem. 2009 10th International Conference on Document Analysis and Recognition. 1 – 4.
Natsheh, E. (2013), Personalized Web Documents Filtering by Analyzing User Browsing Behaviors, International Journal of Information Studies (IJIS), 5(2), 57-65.
Natsheh, E. (2012). "Taxonomy of Clustering Methods Used in Fuzzy Logic Systems", Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol.4, no.1, pp. 65-72.
Shikha, P. , and Shailja, S. (2013). Neural Network Based Offline Signature Recognition and Verification System. Research Journal of Engineering Sciences, 2 (2) 1 – 4
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