World Academy of Science, Engineering and Technology
Published April 27, 2009 | Version 10117
Journal article Open

Biometric Methods and Implementation of Algorithms

Description

Biometric measures of one kind or another have been used to identify people since ancient times, with handwritten signatures, facial features, and fingerprints being the traditional methods. Of late, Systems have been built that automate the task of recognition, using these methods and newer ones, such as hand geometry, voiceprints and iris patterns. These systems have different strengths and weaknesses. This work is a two-section composition. In the starting section, we present an analytical and comparative study of common biometric techniques. The performance of each of them has been viewed and then tabularized as a result. The latter section involves the actual implementation of the techniques under consideration that has been done using a state of the art tool called, MATLAB. This tool aids to effectively portray the corresponding results and effects.

Files

10117.pdf

Files (196.8 kB)

Name Size Download all
md5:2f9ac681c259011ccd339179a799fca5
196.8 kB Preview Download

Additional details

References

  • A Survey of Unimodal Biometric Methods Nimalan Solayappan and Shahram Latifi Department of Electrical engineering, University of Nevada at Las Vegas, USA
  • A SURVEY OF BIOMETRIC RECOGNITION METHODS Kresimir Delac , Mislav Grgic HT - Croatian Telecom, Carrier Services Department, Kupska , Zagreb, CROATIA University of Zagreb, FER, Unska 3/XII, Zagreb, CROATIA, 46th International Symposium Electronics in Marine, ELMAR-2004, 16-18 June 2004, Zadar, Croatia 184
  • http://scien.stanford.edu/class/ee368/projects2001/dropbox/project16/
  • http://www.irc.atr.jp/%7Emlyons/pub_pdf/fg98-1.pdf
  • http://www.kasrl.org/jaffe.html
  • Natalia A. Schmid, Joseph A.O-Sullivan,"Performance Prediction Methodology for Biometric Systems using a Large Deviations Approch", IEEE Transaction of Signal Processing, October 2004.
  • Li Ma , Tieniu Tan , Yunhong Wang , Dexin Zhang , " Personal Identification Based on Iris Texture Analysis" , IEEE Transactions on Pattern Analysis and Machine Intelligensce , Vol. 25 No. 12, December 2003.
  • John Carter, Mark Nixon, "An Integrated Biometric Database" Department of Electronics and Computer Science, University of Southampton, Highfield, Southanpton,
  • A Survey of Unimodal Biometric Methods Nimalan Solayappan and Shahram Latifi Department of Electrical engineering, University of Nevada at Las Vegas, USA [10] P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7), 1997. [11] R. Chellappa, C. L. Wilson, and S. Sirohey. Human and Machine Recognition of Faces: A Survey. Proceedings of the IEEE, 83(5), 1995. [12] E. Hjelm├Ñs and J. Wroldsen. Recognizing Faces from the Eyes Only. In Proceedings of the 11th Scandinavian Conference on Image Analysis, 1999. [13] A. Jain, L. Hong, and S. Pankanti. Biometric Identification. Communications of the ACM, 43(2), 2000. [14] M. Lades, J. C. Vorbr├╝ggen, J. Buhmann, J. Lange, C. von der Malsburg, R. P. W├╝rtz, andW. Konen. Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Transactions on Computers, 42(3), 1993. [15] B. S. Manjunath, R. Chellappa, and C. von der Malsburg. A Feature Based Approach to Face Recogntion. In Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992. [16] Coding Facial Expressions with GaborWavelets Michael Lyons and Shigeru Akamatsu ATR Human Information Processing Research Laboratory 2-2 Hikaridai, Seika-cho Soraku-gun, Kyoto 619-02, Japan Miyuki Kamachi and Jiro Gyoba Psychology Department, Kyushu University Proceedings, Third IEEE International Conference on Automatic Face and Gesture Recognition, April 14-16 1998, Nara Japan, IEEE Computer Society, pp. 200-205. [17] Anil K. Jain, Fellow, IEEE, Arun Ross, Member, IEEE, and Salil Prabhakar, Member, IEEE An Introduction to Biometric Recognition IEEE Transactions On Circuits And Systems For Video Technology, Vol. 14, No. 1, JanuarY 2004