Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the pre-processing of ear images has had manual steps, and algorithms have not necessarily handled problems caused by hair and earrings. We present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for...

Biometrics refers to automatic recognition of individuals based on their physiological and/or behavioral characteristics. Unimodal biometric systems allow person recognition based on a single source of biometric information but cannot guaranty a perfect identification. Such systems are sensitive to noisy sensor data, non-universality and lack of individuality of the chosen biometric trait, and ...

The use of multiple biometrics will work with greater efficiency if all the systems are capable of acquiring biometrics of adequate quality and processing them successfully. However if one or more of the biometrics fails, then the system has to rely on fewer or one biometric. If the individual biometrics are set to use low thresholds, the system maybe vulnerable to falsely accepting impostors. ...

Keystroke biometrics authentication system is based on a password and keystroke biometric features captured when a user is typing in the password. The system offers a higher level of security and convenience for computers. The system does not require additional hardware as it can be used with any existing keyboard, making it relatively inexpensive and fairly unobtrusive to the user. There have ...

Some of the biometrics used in identity verification, such as face, iris or fingerprint, have small fixed size pattern vectors which can easily be stored for rapid scoring. Important dynamic biometrics such as voice and signature, however, have much larger and variable sized feature vectors which require far greater verification computation. Such dynamic biometrics cannot therefore normally be ...

The prime advantage of gait as a biometric is that it can be used for recognition at a distance whereas other biometrics cannot. There is a rich selection of approaches and many advances have been made, as will be reviewed in this talk. Soft biometrics is an emerging area of interest in biometrics where we augment computer vision derived measures by human descriptions. Applied to gait biometric...

Cryptography is used for security and authentication of data. Therefore it is used in biometrics system for keeping it safe and away from frauds. When we are using biometrics we ensure that, it is specially used for authentication and verification for the person’s template. This template can be misused if it is stolen by any nonauthenticate person. Focusing on biometric template security is the...

Biometrics are automated methods of recognizing a person based on a physiological or behavioral characteristic. “Biometrics is a complex technology but when supported by new services and improved processes, this technology can lead to profound improvements.The biometrics methods have seen significant improvement in performance and robustness over the last few years, but most of the systems repo...

Biometrics is an important method to be used, by computers, to measure user characteristics to achieve a secure identification or verification [1, 2]. Indeed we can use static or dynamic biometrics depending on what we want to measure: the user’s body or the user’s behavior. We have developed a system based on behavioral biometrics to get authentication in a web application: BioWeb. The system ...

Accurate and efficient identification have become a vital requirement for forensic application due to diversities of criminal activities. A recent advancement in biometric technology which is equipped with computational intelligence techniques is replacing manual identification approaches in forensic science. Biometrics is a fundamental verification mechanism that identifies individuals on the ...