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Signature Verification Model: A Long Term Memory Approach

Muraleedharan Nair, Jayakrishnan
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427210243

Abstract Details

2015, Master of Science (MS), Ohio University, Electrical Engineering & Computer Science (Engineering and Technology).
The thesis proposes a signature verification model based on Spatio-Temporal long term memory model and dynamic averaging of aligned sequences. This model empowers the neural network to be used it in a more dynamic environment. Hand written signatures are used to train the LTM and for validation purposes. The quantitative analysis of the system is done by calculating the prediction accuracy and separation ratio. Both static and dynamic features of the signatures are used in this work. Various features of the signatures considered in this model are x-coordinate, y-coordinate, pressure applied, tilt of the pen and time. The quantitative analysis shows that the signature modification model achieves a prediction accuracy of 97%. Further improvement of the model is done using signature merging. The efficiency of the model is improved with a 5% trade off in accuracy.
Janusz Starzyk (Advisor)
Jadwisienczak Wojciech (Committee Member)
Savas Kaya (Committee Member)
Martin Mohlenkamp (Committee Member)
92 p.
Electrical Engineering
Online signature verification model; Spatio-Temporal long term memory; Dynamic averaging of aligned sequences

Recommended Citations

Citations

  • Muraleedharan Nair, J. (2015). Signature Verification Model: A Long Term Memory Approach [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427210243

    APA Style (7th edition)

  • Muraleedharan Nair, Jayakrishnan. Signature Verification Model: A Long Term Memory Approach. 2015. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427210243.

    MLA Style (8th edition)

  • Muraleedharan Nair, Jayakrishnan. "Signature Verification Model: A Long Term Memory Approach." Master's thesis, Ohio University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427210243

    Chicago Manual of Style (17th edition)

ohiou1427210243
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This open access ETD is published by Ohio University and OhioLINK.