Biometric recognition offers a reliable solution to the problem of user authentication in identity management systems. It is a general term used alternatively to describe a characteristic or process: as a characteristic, a biometric is a measurable biological (anatomical or physiological) and behavioral characteristic that can be used for automated recognition. As a process, a biometric is an automated method of recognizing an individual based on measurable biological (anatomical or physiological) and behavioral characteristics.
Biometric commonly implemented or studied include fingerprint, face, iris, voice, signature, and hand geometry. Many other modalities are in various stages of development and assessment. There is not one biometric modality that is best for all implementations. Many factors must be taken into account when implementing a biometric device including location, security risk, task (identification or verification), expected number of users, user circumstances, existing data, etc. it is also important to note that biometric modalities are in varying stage of maturity. For example, fingerprint recognition has been used for over a century while iris recognition is a little more than a decade old. It should be noted that maturity is not related to which technology is the best, but can an indicator of which technologies have more implementation experience.
Biometrics are typically collected using a device called a sensor. These sensors are used to acquire the data needed for recognition and to convert the data to digital form. The quality of the sensor has a significant impact on the recognition results. Example “sensors” could be digital cameras (for face recognition) or a telephone (for voice recognition). Let us also discuss what biometric templates are: a biometric template is a digital representation of an individual’s distinct characteristics, representing information extracted from a biometric sample. Biometric