Combination of physiological and behavioral modalities based on score level fusion

Supreetha Gowda, H. D. and Hemantha Kumar, G. and Imran, Mohammad (2017) Combination of physiological and behavioral modalities based on score level fusion. In: 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), 22-24 Feb. 2017, Coimbatore, India.

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Official URL: https://dx.doi.org/ 10.1109/ICECCT.2017.8117815

Abstract

The impulse of ubiquitous biometrics may refer to the unique identification of an individual by analyzing psychological and behavioral traits. We have employed psychological biometric modalities such as AR database for face trait, poly-U database for palm trait and behavioral biometric modalities such as MCYT-100 database for signature trait, TIMIT database for speech trait. Desirable features extraction algorithms are employed, on both psychological and behavioral traits and fused at score level. The each of scores from the matcher from respective modalities fused into a single score by adopting sum rule. The proposed system evaluated using the performance measures of standard biometric verification GAR (Genuine Acceptance Rate), FAR (False Acceptance Rate), and the obtained results analyzed graphically using ROC (Receiver Operating Characteristics). We have motivated in conducting the experiments on fusion of both psychological and behavioral traits and observed how the verification rate increases with the increase in fusion of more than one modalities.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: biometrics (access control);digital signatures;feature extraction;psychology;sensor fusion;poly-U database;palm trait;behavioral biometric modalities;MCYT-100 database;signature trait;TIMIT database;speech trait;psychological traits;behavioral traits;ubiquitous biometrics;psychological biometric modalities;face trait;False Acceptance Rate;Genuine Acceptance Rate;features extraction algorithms;AR database;biometric verification GAR;Face;Databases;Iris recognition;Psychology;Speech;Feature extraction;Score level;Physiological bimetric;Behavrioral biometrie;Fusion
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: MUL SWAPNA user
Date Deposited: 09 Jul 2019 05:48
Last Modified: 09 Jul 2019 05:48
URI: http://eprints.uni-mysore.ac.in/id/eprint/4965

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