REVIEW ON SCOPE AND ENHANCEMENTS IN 3D BIOMETRICS
Keywords:
Fingerprint, Electronic passports, Categorized, Biometrics, PalmprintAbstract
Biometrics means to related to human characteristics. Biometrics authentication (or realistic authentication has used to computer science as a form of identification & access control. It is also used to identify single in set that are under surveillance. Biometric identifiers are distinctive, measurable characteristics used to label & describe individuals.[2] Biometric identifiers are often categorized as physiological versus behavioral characteristics.[3] Physiological features are related to shape of body. Examples include, but are not limited to fingerprint, hand geometry, iris recognition, retina & odour/scent. 3D biometrics have potential to achieve better accuracy than its 2D counterpart by measuring geometry of rigid features on face. This avoids such pitfalls of 2D biometrics algorithms[4] as change in lighting, different facial expressions, make-up & head orientation. Another approach is to use 3D model to improve accuracy of traditional image based recognition by transforming head into a known view. Additionally, most 3D scanners acquire both a 3D mesh & corresponding texture. This allows combining output of pure 3D matchers within more traditional 2D face recognition algorithms, thus yielding better performance.
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