Combination of Physiological and Behavioral Modalities based on Score level fusion

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.