Erachampat, Shajal (2017) A hybrid biometric template protection algorithm in fingerprint biometric system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.
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Abstract
Biometric recognition has achieved a considerable popularity in recent years due its various properties and widespread application in various sectors. These include very top priority sectors like countries boundary security, military, space missions, banks etc. Due to these reasons the stealing of biometric information is a critical issue. To protect this user biometric template information there should be efficient biometric template transformation technique and thereby the privacy of user is preserved. Non-invertible transformation can keep the user template based transformed information maximum secure against the regeneration. But the performance of non-invertible template protection mechanism will be reduced by the increase in security. This limitation of non-invertible biometric transformation should be solved. This research aims to develop a hybrid biometric template protection algorithm to keep up a balance between security and performance in fingerprint biometric system. The hybrid biometric template protection algorithm is developed from the combination of non-invertible biometric transformation and biometric key generation techniques. To meet the research objective this proposed framework composed of three phases: First phase focus on the extraction of fingerprint minutiae and formation of vector table, while second phase focus on develop a hybrid biometric template protection algorithm and finally the third phase focus on evaluation of performance of the proposed algorithm.
Item Type: | Thesis (Masters) |
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Additional Information: | Thesis (Sarjana Sains (Keselamatan Maklumat)) - Universiti Teknologi Malaysia, 2017; Supervisor : Dr. Anazida Zainal |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 86986 |
Deposited By: | Fazli Masari |
Deposited On: | 31 Oct 2020 12:16 |
Last Modified: | 31 Oct 2020 12:16 |
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