A Pixel Based Signature Authentication System
A. Vinoth1, V. Sujathabai2
1Mr. A.Vinoth, MCA, M.Phil, Ph.D, Assistant Professor, Department of Master of Computer Applications Vel Tech High Tech, Dr. Rangarajan Dr. Sakunthala Engineering College Chennai (Tamil Nadu), India.
2Mrs. V.Sujathabai, MCA, M.Phil, Ph.D, Assistant Professor, Department of Master of Computer Applications Vel Tech High Tech, Dr. Rangarajan Dr. Sakunthala Engineering College Chennai (Tamil Nadu), India.
Manuscript received on 10 May 2013 | Revised Manuscript received on 18 May 2013 | Manuscript Published on 30 May 2013 | PP: 274-276 | Volume-2 Issue-6, May 2013 | Retrieval Number: F0854052613/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Signature verification is the process used to recognize an individual’s h a n d -written signature. The process o f verifying signature is cumbersome in practice. There is a need for automatic verification system for a signature since the signature has been a means of a person’s identification through ages. Verification of a signature can be done either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. In this paper, we verify the off-line signatures by taking a boundary of the entire signature and do the pixel comparison. Signature is acquired using a scanner. Detection process is done after the data acquisition and pre-processing. Pre processing includes noise removal, grey-scale, manipulation, edge detection. Experimental results show that 50% of the accurate matching with the existing one from the data base. Signature is a behavioral biometric: it differs from finger print, face, iris recognition, because these are based on the physical properties of human beings. There is an important distinction between simple signature Comparisons and dynamic signature verification. Both can be computerized, but a Simple comparison only takes into account what the signature looks like. Dynamic signature verification takes into account how the signature was made. With dynamic signature verification it is not the shape or look of the signature that is meaningful; it is the change in speed, pressure and timing that occur during the act of signing. Only the original signer can recreate the changes in timing and X, Y and Z (pressure). A pasted bitmap, a copy machine or an expert forger may be able to duplicate what a signature looks like, but it is virtually impossible to duplicate the timing changes ins X, Y and Z (pressure). The practiced and nature motion of the original signer would require repeating the pattern shown. There w i l l al ways be s ligh tvari at ions in a Person’s hand-written signature, but the consistency created by natural motion and practice over time creates a recognizable pattern that makes the hand-written signature a natural for biometric identification. Signature verification is natural and in tuitive . The technology is easy to explain and trust. The primary advantage that signature verification systems have over types of biometric technologies is that signatures are already accepted as the common method of identity verification. This history is trust means that people are very willing to accept a signature based verification system.
Keywords: Pre-Processing, Data Acquisition, off-Line Signature, Edge Detection, Noise Removal, Gray-Scale Manipulation.
Scope of the Article: Authentication, Authorization, Accounting