ARCHIVES
Research Article
Human Signature Verification System Using CNN with Tensor flow
ArunKumar G1
Anand K2
Dinesh P3
Abimanyu R4
Vijayakumari V5
12345 Computer Science and Engineering, The Kavery Engineering College, Tamilnadu, India.
Published Online: May-June 2023
Pages: 235-242
Cite this article
↗ https://www.doi.org/10.59256/ijire.2023040381
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.
Related Articles
2023
A Mobile Application to Promote the Idea of Recycling
2023
Web Based Printing Press Management System (WBPPMS)
2023
Review: CFD Analysis Of triangular, square and Circular Shaped Helical Coil Heat Exchanger by Using Titanium Oxide Nano fluid
2023
Review: Steady and Transient Thermal Analysis of 100 Cc Engine at 3000c, 5000c & 7000c
2023
Overview of Advancement of Inventory Models for Deteriorating Items with Time Based Uniform Price
2023
