Fingerprint Essay

While considering the security biometric systems have many advantages over traditional authentication systems. As users do not need to remember passwords or no extra training is required like in password or PIN checking. In biometrics fingerprints are used at many places as they are more flexible as well as robust to use. Sometimes the system gets fails due to physical changes which may occur due to wrinkles.

A. Use of fingerprint for authentication

In this section importance of fingerprint for authenticating purpose as well as various attacks on it are described. Biometric authentication may use iris, palm, face or fingerprints for recognition. Among all fingerprints are most commonly used. Fingerprints patterns are formed on the epidermis of the fingertip. Fingerprints are made up of series of ridges as well as valleys (also called as furrows) on the surface of the fingertip and also have core around which pattern like swirls, loops or arches are curved which ensures that each print is unique. Fingerprints are robust and easily applicable as sensors used in scanning fingerprint can be placed easily and require less space. Moreover fingerprints of each person are diverse. Problem of face recognition is that it may fail in recognizing twins .But that problem is overcome using fingerprints, as twins don't share similar finger patterns. Thus Fingerprints are effective in authentication of twins. Nowadays, fingerprints are used for many purposes like, to note down daily attendance and to get an automatic database retrieval system. Recently fingerprints are also used at various places for authenticating user. Authentication is done by matching the extracted features. While matching fingerprints there are certain pitfalls due to which ...

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...matching that has been adopted in most of the previous attempts to find automated solutions. The minutia-based approach has two obvious weaknesses: they are sensitive to noise and computationally expensive since it is essentially a graph matching problem. Lastly, neural networks are robust, adaptive, and trainable from examples. This is particularly important since fingerprint images can include several different sources of deformation and noise ranging from the fingers and their positioning on the collection device.

F. Organisation of Paper

In Section1 of this paper Introduction about fingerprint biometrics and required terms are discussed. The remainder of this paper is organized as follows: Section 2 describes related work on fingerprint verification. The proposed method for wet and wrinkled fingerprints is described in Section 3. Section 4 concludes the paper.