Personal authentication in our highly inter-connected information society is becoming a crucial issue. Biometrics involves identifying an individual based on his physiological (e.g., fingerprint, iris, face, hand, voice) or behavioral (e.g., signature, gait, etc.) characteristics. Biometric identification provides more security and convenience than traditional authentication methods which rely in what you know (such as a password) or what you have (such as an ID card). While fingerprint and iris recognition are the most popular biometrics due to their unique identification capabilites, in many access control applications in which user acceptability is a significant factor, these traits may not be acceptable. In such situations, hand identification systems, characterized by their non-intrusive data collection, play an important role.
Traditional hand recognition systems can be split in three modalities: geometry, texture and hybrid. As a starting point, we focus on hand geometry because it is the simplest to implement.