Space saving Implementation of Face Recognition technology in Biometrics

Authors

  • MANJU BALA Department- Computer Science Engg., : Choudhary Devilal University Sirsa
  • Kapil Kaswan Assistant professor, Department- Computer Science Engg., : Choudhary Devilal University Sirsa

Keywords:

Face Recognition, Biometrics, Detection

Abstract

A face recognition system is a group of programs for automatically recognize a person from a digital graphics or a video frame. Way to do this is by comparing selected characteristics from graphics and face database. Some facial recognition applications identify facial features by extracting landmarks, or features from graphics of subject's face. In this research we have studied & evaluate different edge detection techniques. We have seen that canny edge detector gives better result as compared to others with some positive points. It is less sensitive to noise, adaptive within nature, resolved problem of streaking, provides good localization & detects sharper edges as compared to others.

References

Otsu,N., "A Threshold Selection Method from Gray-Level istograms,"IEEE Transactions on Systems, Man, & Cybernetics, Vol. 9, No. 1, 1979, pp. 62-66.

[10] Aviel D. Rubin Bellcore, “Independent One-Time Passwords,” Fifth USENIX UNIX Security Symposium, Salt Lake City, Utah, Jun. 1995.

A. Marion An Introduction to graphics Processing, Chapman & Hall, 1991

Gerhard X. Ritter; Joseph N. Wilson, “ Handbook of Computer Vision Algorithms within graphics Algebra” CRC Press, CRC Press LLC ISBN:0849326362 Pub Date: 05/01/96

P. Phillips, H. Moon, S. Rizvi, & P. Rauss. FERET evaluation mthodology for face-recognition algorithms. IEEE Transactions on pattern analysis & machine intelligence , 22(10):1090–1104, 2000.

C. Chang & C. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www. csie. ntu.edu. tw/cjlin/libsvm, 2001.

V. Blanz & T. Vetter. Face recognition based on fitting a 3D morphable model. IEEE Transactions on pattern analysis & machine intelligence, 25(9):1063–1074, 2003.

Woodward, John D, et al. "Biometrics: A Look at Facial Recognition. " RAND Public Safety & Justice. 2003. http://www.rand.org/pubs/ documented_briefings/ DB396/DB396.pdf

Kimmel, Ron & Guillermo Sapiro. "The Mathematics of Face Recognition." SIAM. April 30, 2003. http://www.siam.org/news/news.php?id=309

Moyer, Paula. "New Technology Targets Skin as Valid Biometric Identification, Security." Dermatology Times. June 1, 2004. http://www.dermatologytimes.com/

T. Ahonen, A. Hadid, & M. Pietikainen. Face Recognition with Local Binary Patterns. Lecture Notes within Computer Science , pages 469–481, 2004

Downloads

Published

30-09-2016

How to Cite

MANJU BALA, & Kapil Kaswan. (2016). Space saving Implementation of Face Recognition technology in Biometrics. International Journal for Research Publication and Seminar, 7(4). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/844

Issue

Section

Original Research Article