Multimodal Biometric Fusion Using Image Encryption Algorithm
Title | Multimodal Biometric Fusion Using Image Encryption Algorithm |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Jagadiswary, D., Saraswady, D. |
Conference Name | Proceedings of the International Conference on Informatics and Analytics |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4756-3 |
Keywords | biometric encryption, Biometric traits, biometrics, Collaboration, composability, cryptography, Human Behavior, Metrics, Multimodal biometric, pubcrawl, Resiliency, Scalability, Unibiometric |
Abstract | India being digitized through digital India, the most basic unique identity for each individual is biometrics. Since India is the second most populous nation, the database that has to be maintained is surplus. Shielding those information by using the present techniques has been questioned. This contravene problem can be overcome by using cryptographic algorithms in accumulation to biometrics. Hence proposed system is developed by combining multimodal biometric (Fingerprint, Retina, Finger vein) with cryptographic algorithm with Genuine Acceptance Rate of 94%, False Acceptance Rate of 1.46%, and False Rejection Rate of 1.07%. |
URL | http://doi.acm.org/10.1145/2980258.2980359 |
DOI | 10.1145/2980258.2980359 |
Citation Key | jagadiswary_multimodal_2016 |