10-04-2012, 12:31 PM
study and design an Efficient Signature Identification system in MATLAB.
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Introduction
The problem of signature identification basically means to decide whether or not a
current test signature corresponds to a given reference signature. HUMANS recognize
each other according to their various characteristics for ages. We recognize others by
their face when we meet them and by their voice as we speak to them. Identity
verification (authentication) in computer systems has been traditionally based on
something that one has (key, magnetic or chip card) or one knows (PIN, password).
Problem Domain
Signature identification has become a popular area of research in computer vision,
mainly due to increasing security demands and its potential, commercial and law
enforcement applications. It is a very challenging problem and up to date and there is
no technique that provides a robust solution to all situations and different applications
that signature identification may encounter specially in the Banking field where the
faster method for identification of signature is required. Hence, this project focuses on
developing a technique that provides a solution for an efficient Signature
Identification system in different applications.
Literature survey
A number of biometric methods have been introduced, but few have gained wide
acceptance. Before we discuss about our approach, we have concentrated on some
techniques to gather knowledge. In 2001 Adrian Perrig introduces the BiBa signature
scheme. BiBa signature scheme is a new signature construction that uses one-way
functions without trapdoors. The most important features of BiBa signature scheme is
a low verification overhead and a relatively small signature size.
Image Read: Read image from graphics file
Syntax
A = imread (‘filename’);
Description
A = imread (‘filename’) reads a grayscale or color image from the file
specified by the string filename. If the file is not in the current folder, or in a
folder on the MATLAB path, specify the full pathname.
Convert to Gray Scale: The RGB color image is then converted to Gray Scale.
Syntax
I = rgb2gray (RGB)
Description
I = rgb2gray(RGB) converts the true color image RGB to the grayscale
intensity image I. rgb2gray converts RGB images to grayscale by
eliminating the hue and saturation information while retaining the
luminance..
Applications
There is a tradeoff between security and convenience. An unlocked car with the keys
in the ignition is very convenient to use, but also easy to steal. Banks who issue credit
cards want their customers to use their cards frequently, while minimizing their
exposure to fraud. In general, once a credit card is issued, credit transaction practices
lean toward giving the buyer the benefit of the doubt, as a moderate amount of fraud
is preferable to lost business and frustrated customers that results if the authentication
process is too burdensome or stringent.