Abstract
Face recognition is an important part of today’s emerging biometrics and application of security. In this paper we will be proposing an algorithm for Real-Time face recognition algorithm using representation of face and priority order matching. It is common to register a lot of faces into a database for to improve face recognition rate. We used the representation of face method in order to search the large database containing visual facial image data more efficiently. And Priority order matching method was used to obtain data that is more reliable. Priority order matching is a system that recognizes faces by giving weight to its most similar facial image. This way we can obtain data that is more reliable and also prevents rejecting reaction from the system. I am proposing a progressive - face recognition algorithm using priority order matching and representation of face, the two method proposed above.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ho, P., Poggio, T.: Face recognition with support vector machine: Global versus component - based approach. In: IEEE International Conference on Computer Vision. vol. 2, pp. 688–694 (2000)
Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.J.: Face recognition: A literature survey. Technical report, CVL Rechnical Report (2002)
Nefian, A.: Hidden markov model based approach for face detection and recognition. PhD thesis, Georgia Institute of Technology (August 1999)
Duda, R., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley and sons, Chichester (2001)
Hsu, R.-L., Abdel-Mottaleb, jain, A.K.: Face detection in color images. IEEE Pattern Analysis and Machine Intelligence 24, 694–706 (2002)
Yambor, W.S.: Analysis of pca-based and fisher discriminant-based image recogniton algorithms. Technical report cs-00-103, Computer Science Department Colorado State University (July 2000)
Yang, J., Zhang, D., Frangi, A.F., Yang, J.y.: Two-dimensional pca: A new approach to appearance-based face representation and recognition. IEEE Transactions on pattern analysis And Machine Intelligence 26 (2004)
Shen, Y., Chen, Y., Feng, H., He, T.: A recognition algorithm of facial image based on wabelet subbands and decision fusion. Technical report, Zhejiang University of Technology, Hangzhou China (November 2003)
Lu, X., Wang, Y., Jain, A.K.: Combining classifier for face recognition. In: International Conference on Multimedia and Expo, vol. 3, pp. 16–19 (2003)
KOREA Intelligent Multimedia Laboratory, POSTECH. Imdb (2001)
The Digital Technology Group of Cambridge University Computer Laboratory. Orl database of faces (1994)
Graham, D., Allinson, N.: The umist face database
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, T.E., Chung, C.H., Kim, J.O. (2007). Improvement on Real-Time Face Recognition Algorithm Using Representation of Face and Priority Order Matching. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_67
Download citation
DOI: https://doi.org/10.1007/978-3-540-74484-9_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74482-5
Online ISBN: 978-3-540-74484-9
eBook Packages: Computer ScienceComputer Science (R0)