On ear biometrics

• Published in: IEEE EUROCON 2009 pp. 327 - 332
• Main Authors: Kocaman, B., Kirci, M., Gunes, E.O., Cakir, Y., Ozbudak, O.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2009
• Subjects: Aging; Biometrics; DCVA; Ear; Ear biometrics; Face recognition; Fingerprint recognition; FLDA; Iris; Lighting; LPP; PCA; Principal component analysis; Retina; Security

Today the most successful biometric based identification technologies such as fingerprint, iris, retina, palm and face recognition are used worldwide in both criminal investigations and high security facilities. These technologies are well-studied, but research shows they have many drawbacks which d...