Exploring Both Major and Minor Knuckle Pattern for Human Identities

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-24 Number-1
Year of Publication : 2015
Authors : Sivaranjani B, Yamini C, Jackulin Durairani A,Priyadharshini V
  10.14445/22312803/IJCTT-V24P101

MLA

Sivaranjani B, Yamini C, Jackulin Durairani A,Priyadharshini V "Exploring Both Major and Minor Knuckle Pattern for Human Identities". International Journal of Computer Trends and Technology (IJCTT) V24(1):1-4, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Automated biometric identification by using finger knuckle images with rising applications in human forensics and biometrics has increasingly brought concern among some research persons. The researchers are having some challenging task in biometric concepts. Biometrics based substantiation is just out of the question to be of use to us if we don't know what the necessities are. Security level, unattended system, Spoofing and Reliability must be bestowed by Biometrics authentication. Among all the modalities FKP widely explored which has not yet engrossed momentous notice of researchers. Finger knuckle is user-centric, contactless and unhampered access control. An innovative person identification system involving knuckle print features has been extracted by using Radon transform. The knuckle print image has been imaged as a texture. The regional features from the knuckle print epitomize the texture information at hand in the image in an enhanced sense. Radon transform computes the line integral along corresponding paths in a particular direction. Accurate segmentation of steady major and minor finger knuckle regions is indispensable as it can control the attainable identification precision from the finger dorsal images.

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Keywords
Biometric, Finger Knuckle Print (FKP), Random Transform, Secure Computing.