Most systems that control access to financial transactions, computer networks, or secured locations identify authorized persons by recognizing passwords or personal identification numbers. The weakness of these systems is that unauthorized persons can discover others’ passwords and numbers quite easily and use them without detection.

Biometric identification systems, which use physical features to check a person’s identity, ensure much greater security than password and number systems. Biometric features such as the face or a fingerprint can be stored on a microchip in a credit card, for example, If someone steals the card and tries to use it, the impostor’s biometric features will not match the features stored in the card, and the system will prevent the transaction.

            Biometrics are automated methods of recognizing a person based on a physiological or behavioral characteristic. Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions.
A single feature, however, sometimes fails to be exact enough for identification. Consider identical twins, for example. Their faces alone may not distinguish them. Another disadvantage of using only one feature is that the chosen feature is not always readable. For example, some five percent of people have fingerprints that cannot be recorded because they are obscured by a cut or a scar or are too fine to show up well in a photograph.

This paper presents a system called BioID which is developed to identify a person using   different features-Face, voice, lip movement,iris recognition, finger and palm geometry .With its three modalities, BioID achieves much greater accuracy than single feature systems.    

Biometric (Biological features as a measure) recognition refers to the use of distinctive physiological and behavioral characteristics (e.g., fingerprints, face, hang...