Online signature verification with neural networks classifier and fuzzy inference
Compared to physiologically based biometric systems such as fingerprint, face, palm-vein and retina, behavioral based biometric systems such as signature, voice, gait, etc. are less popular and many are still in their infancy. A major problem is due to inconsistencies in human behavior which require...
| Main Authors: | , , , |
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| Format: | Book Section |
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Institute of Electrical and Electronics Engineers
2009
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| _version_ | 1796855178823991296 |
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| author | Khalid, Marzuki Mokayed, Hamam Yusof, Rubiyah Ono, Osamu |
| author_facet | Khalid, Marzuki Mokayed, Hamam Yusof, Rubiyah Ono, Osamu |
| author_sort | Khalid, Marzuki |
| collection | ePrints |
| description | Compared to physiologically based biometric systems such as fingerprint, face, palm-vein and retina, behavioral based biometric systems such as signature, voice, gait, etc. are less popular and many are still in their infancy. A major problem is due to inconsistencies in human behavior which require more robust algorithms in their developments. In this paper, an online signature verification system is proposed based on neural networks classifier and fuzzy inference. The software has been developed with a robust validation module based on Pearson's correlation algorithm in which more consistent sets of user's signature are enrolled. In this way, more consistent sets of training patterns are used to train the neural network modules based on the popular backpropagation algorithm. To increase the robustness not only the neural network threshold is used for the verification, the time and length of the signature are also calculated. A fuzzy inference module is then set up to infer the three thresholds for human-like decision outputs. The signature verification system shows better consistency and is more robust than previous designs. |
| first_indexed | 2024-03-05T18:24:50Z |
| format | Book Section |
| id | utm.eprints-13029 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:24:50Z |
| publishDate | 2009 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | utm.eprints-130292011-07-14T01:25:56Z http://eprints.utm.my/13029/ Online signature verification with neural networks classifier and fuzzy inference Khalid, Marzuki Mokayed, Hamam Yusof, Rubiyah Ono, Osamu TK Electrical engineering. Electronics Nuclear engineering Compared to physiologically based biometric systems such as fingerprint, face, palm-vein and retina, behavioral based biometric systems such as signature, voice, gait, etc. are less popular and many are still in their infancy. A major problem is due to inconsistencies in human behavior which require more robust algorithms in their developments. In this paper, an online signature verification system is proposed based on neural networks classifier and fuzzy inference. The software has been developed with a robust validation module based on Pearson's correlation algorithm in which more consistent sets of user's signature are enrolled. In this way, more consistent sets of training patterns are used to train the neural network modules based on the popular backpropagation algorithm. To increase the robustness not only the neural network threshold is used for the verification, the time and length of the signature are also calculated. A fuzzy inference module is then set up to infer the three thresholds for human-like decision outputs. The signature verification system shows better consistency and is more robust than previous designs. Institute of Electrical and Electronics Engineers 2009 Book Section PeerReviewed Khalid, Marzuki and Mokayed, Hamam and Yusof, Rubiyah and Ono, Osamu (2009) Online signature verification with neural networks classifier and fuzzy inference. In: Proceedings - 2009 3rd Asia International Conference on Modelling and Simulation, AMS 2009. Institute of Electrical and Electronics Engineers, New York, pp. 236-241. ISBN 978-076953648-4 http://dx.doi.org/10.1109/AMS.2009.23 doi:10.1109/AMS.2009.23 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Khalid, Marzuki Mokayed, Hamam Yusof, Rubiyah Ono, Osamu Online signature verification with neural networks classifier and fuzzy inference |
| title | Online signature verification with neural networks classifier and fuzzy inference |
| title_full | Online signature verification with neural networks classifier and fuzzy inference |
| title_fullStr | Online signature verification with neural networks classifier and fuzzy inference |
| title_full_unstemmed | Online signature verification with neural networks classifier and fuzzy inference |
| title_short | Online signature verification with neural networks classifier and fuzzy inference |
| title_sort | online signature verification with neural networks classifier and fuzzy inference |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT khalidmarzuki onlinesignatureverificationwithneuralnetworksclassifierandfuzzyinference AT mokayedhamam onlinesignatureverificationwithneuralnetworksclassifierandfuzzyinference AT yusofrubiyah onlinesignatureverificationwithneuralnetworksclassifierandfuzzyinference AT onoosamu onlinesignatureverificationwithneuralnetworksclassifierandfuzzyinference |