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- Vol. 4 Issue 3
- Article
Human Signature Verification System Using CNN with Tensor flow
Authors
12345 Computer Science and Engineering, The Kavery Engineering College, Tamilnadu, India.
Article Information
- Published In
- Volume 4, Issue 3 (2023)
- Published Online
- May-June 2023
- Pages
- 235-242
- Article Type
- Research Article
References
1. Xinyu Li, Jing Xu, Xiong Fan, Yuchen Wang and Zhenfeng Zhang, “Puncturable Signatures and Applications in Proof-of-Stake
Blockchain Protocols”, July 16,2020; DOI 10.1109/TIFS.2020.3001738, IEEE.
2. Jacopo Pegoraro , Francesca Meneghello , Michele Rossi , “Multiperson Continuous Tracking and Identification From mm-Wave
Micro-Doppler Signatures”,September 13,2020; https://www.ieee.org/publications/rights/index.html3. Anamika Jain1 · Satish Kumar Singh1 · Krishna Pratap Singh1, “ Handwritten signature verification using shallow convolutional
neural network ”, April 07,2020 ; https://doi.org/10.1007/s11042-020-08728- 6
4. Azmi AN, Nasien D, Omar FS (2017) Biometric signature verification system based on freeman chaincode and k-nearest neighbor.
Multimed Tools Appl 76(14):15341–15355
5. Bajaj R, Chaudhury S (1997) Signature verification using multiple neural classifiers. Pattern Recogn 30(1):1–7
6. Baltzakis H, Papamarkos N (2001) A new signature verification technique based on a two-stage neural network classifier. Eng Appl
Artif Intell 14(1):95–103. https://doi.org/10.1016/S0952- 1976(00)00064-6.
7. Bouamra W, Djeddi C, Nini B, Diaz M, Siddiqi I (2018) Towards the design of an offline signature verifier based on a small number of
genuine samples for training. Expert Syst Appl 107:182–195
8. Berkay Yilmaz M, Ozturk K (2018) Hybrid user-independent and user-dependent offline signature verification with a two-channel cnn.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp 526–534
9. Ferrer MA, Vargas JF, Morales A, Ordonez A (2012) Robustness of offline signature verification based on gray level features. IEEE
Trans Inf Forensic Secur 7(3):966–977. https://doi.org/10.1109/TIFS.2012.2190281
10. Fierrez-Aguilar J, Nanni L, Lopez-Penalba J, Ortega-Garcia J, Maltoni D (2005) An on-line signature ˙ verification system based on
fusion of local and global information. In: Kanade T, Jain A, Ratha NK (eds) Audio- and video-based biometric person authentication.
Springer, Berlin, pp 523–532
11. Hadjadji B, Chibani Y, Nemmour H (2017) An efficient open system for offline handwritten signature identification based on curvelet
transform and one-class principal componentanalysis.
Neurocomputing265:66https://doi.org/10.1016/j.neucom.2017.01.108.http://www.sciencedirect.com/science/article/pii/S0925231217310
159. New Trends for Pattern Recognition: Theory and Applications
12. Ismail,M.A.; Gad, Samia (Oct 2000). "Offline arabic signature recognition and verification". Pattern Recognition.33(10):1727–1740.
Blockchain Protocols”, July 16,2020; DOI 10.1109/TIFS.2020.3001738, IEEE.
2. Jacopo Pegoraro , Francesca Meneghello , Michele Rossi , “Multiperson Continuous Tracking and Identification From mm-Wave
Micro-Doppler Signatures”,September 13,2020; https://www.ieee.org/publications/rights/index.html3. Anamika Jain1 · Satish Kumar Singh1 · Krishna Pratap Singh1, “ Handwritten signature verification using shallow convolutional
neural network ”, April 07,2020 ; https://doi.org/10.1007/s11042-020-08728- 6
4. Azmi AN, Nasien D, Omar FS (2017) Biometric signature verification system based on freeman chaincode and k-nearest neighbor.
Multimed Tools Appl 76(14):15341–15355
5. Bajaj R, Chaudhury S (1997) Signature verification using multiple neural classifiers. Pattern Recogn 30(1):1–7
6. Baltzakis H, Papamarkos N (2001) A new signature verification technique based on a two-stage neural network classifier. Eng Appl
Artif Intell 14(1):95–103. https://doi.org/10.1016/S0952- 1976(00)00064-6.
7. Bouamra W, Djeddi C, Nini B, Diaz M, Siddiqi I (2018) Towards the design of an offline signature verifier based on a small number of
genuine samples for training. Expert Syst Appl 107:182–195
8. Berkay Yilmaz M, Ozturk K (2018) Hybrid user-independent and user-dependent offline signature verification with a two-channel cnn.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp 526–534
9. Ferrer MA, Vargas JF, Morales A, Ordonez A (2012) Robustness of offline signature verification based on gray level features. IEEE
Trans Inf Forensic Secur 7(3):966–977. https://doi.org/10.1109/TIFS.2012.2190281
10. Fierrez-Aguilar J, Nanni L, Lopez-Penalba J, Ortega-Garcia J, Maltoni D (2005) An on-line signature ˙ verification system based on
fusion of local and global information. In: Kanade T, Jain A, Ratha NK (eds) Audio- and video-based biometric person authentication.
Springer, Berlin, pp 523–532
11. Hadjadji B, Chibani Y, Nemmour H (2017) An efficient open system for offline handwritten signature identification based on curvelet
transform and one-class principal componentanalysis.
Neurocomputing265:66https://doi.org/10.1016/j.neucom.2017.01.108.http://www.sciencedirect.com/science/article/pii/S0925231217310
159. New Trends for Pattern Recognition: Theory and Applications
12. Ismail,M.A.; Gad, Samia (Oct 2000). "Offline arabic signature recognition and verification". Pattern Recognition.33(10):1727–1740.
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