With the growing demand for more user friendly and rigorous safety,
Personal verification is becoming an increasingly important and widely used
technique for security access systems. Biometric feature authentication
technology is a process using inherent physiological or behavior
characteristics to enable identification of individuals. It has high security
and reliability compared to the traditional authentication modes such as password
or code, because biometric features are hard to forge and relatively easy to us
1. Furthermore, some multimedia content in consumer electronic
appliances can be secured by biometrics. As compared to traditional
identification techniques such as personal Identification Numbers (PINs),
passwords, the biometric techniques based on human physiological qualities can
ensure higher security and more convenience for the consumer, hence the biometrics-based
automated human recognition are now attractive more and become more popular in
a huge range of inhabitant applications. Now days, a number of biometric
characteristics have been employed to achieve the identification task and can
be broadly categorized in two categories: first extrinsic biometric features,
such as faces, fingerprints, iris, hand shapes ,gait and signature, and voice 2; second intrinsic biometric features such as palm-veins,
hand-veins and finger-veins. Extrinsic biometric features are easy to use
because their fake versions can be effectively working to imitate the
identification. Also has the advantages of simple convenience of these
biometric traits cause some concerns on privacy and security. On the disparity,
the intrinsic biometric features do not remain on the capturing device when the
user interacts with the device, which ensure high security in various applications.
The grand challenge to biometrics is thus to improve recognition performance
for both accuracy and efficiency and be maximally resistant to deceptive
practices. To this end, many researchers have required to recover consistency
by developing biometrics that are highly individuating; however at the same
time, present a greatly complex, hopefully unbeatable challenge to those who
desire to defeat them. Especially for consumer electronics applications,
biometrics recognition systems require to be cost-efficient and easy to apply.


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