Abstract
Face recognition enhances the security through wireless sensor network and it is a challenging task due to constrains involved in wireless sensor network. Image processing and image communication in wireless sensor network reduces the life time of network due to the heavy processing and communication. This paper presents a collaborative face recognition system in wireless sensor network. The layered linear discriminant analysis is re-engineered to implement on wireless sensor network by efficiently allocating the network resources. Distributed face recognition not only help to reduce the communication overload but it also increase the node life time by distributing the work load on the nodes. The simulation shows that the proposed technique provide significant gain in network life time.
Similar content being viewed by others
References
Estrin D., Culler D., Pister K., Sukhatme G. (2002) Connecting the physical world with pervasive networks. IEEE Pervasive Computing 1(1): 59–69
Pottie G. J., Kaiser W. J. (2000) Wireless integrated network sensors. Communications of the ACM 43(5): 51–58
Zhang, M., Lu, Y., Gonh, C., & Feng, Y. (2008). Energy-efficient maximum lifetime algorithm in wireless sensor networks. In International Conference on Intelligent Computation Technology and Automation (ICICTA), 10/2008.
Razzak, M. I., Hussain, S. A., Minhas, A. A., & Sher, M. (2010). Collaborative image compression in wireless sensor networks. International Journal of Computational Cognition, 8(1).
Hussain, S. A., Razzak, M. I., Minhas, A. A., Sher, M., & Tahir, G. R. (2009). Energy efficient image compression in wireless sensor networks. International Journal of Recent Trends in Engineering, 2(1).
Jain A.K., Ross A., Pankanti S. (2006) Biometrics: A tool for information security. IEEE Transactions on Information Forensics and Security 1(2): 125–143
Prasad, S. M., Govindan, V. K., & Sathidevi, P. S. (2009). Bimodal personal recognition using hand images. In Proceedings of the International Conference on Advances in Computing, Communication and Control (pp. 403–409).
Ross, A., & Jain, A. K. (2004). Multimodal biometrics: An overview. In 12th European Signal Processing Conference (EUSIPCO). (pp. 1221–1224). Austria: Vienna.
Yan, Y., & Osadciw, L. A. (2008). Distributed wireless face recognition system. In Proceedings of IS&T and SPIE Electronic Imaging 2008. San Jose, CA.
Ross A., Jain A. (2003) Information fusion in biometrics. Pattern Recognition Letter 24: 2115–2125
Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997). Eigenfaces vs fisherfaces: Recognition using class specific linear projection. IEEE Transaction Pattern Analysis Machine Intelligence, 19.
Yang, J., & Yang, J. Y. (2003). Why can LDA be performed in PCA transformed space? Pattern Recognition, 36.
Yu H., Yang J. (2001) A direct lda algorithm for high-dimensional data with application to face recognition. Pattern Recognition 34: 2067–2070
Lotlikar, R., & Kothari, R. (2000). Fractional-step dimensionality data with application to face recognition. IEEE Transaction Pattern Analysis Machine Intelligence, 22.
Razzak, M. I., Khurram, M., Alghtabar, K., & Yousaf, R. (2010). Face recognition using Layred linear discriminant analysis and small subspace. In International Conference on Computer and Information Technology, UK.
Razzak, M. I., Khurram, M., & Alghtabar, K. (2010). Bio-inspired hybrid face recognition system for small sample space and large data set. In 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Germany.
Muraleedharan, R., Yan, Y., & Osadciw, L. A. (2007). Constructing an efficient wireless face recognition by Swarm Intelligence. 2007 AGEP Academic Excellence Symposium. NY: Syracuse.
Yan, Y., Muraleedharan, R., Ye, X., & Osadciw, L. A. (2008). Contourlet based image compression for wireless communication in face recognition system. In Proceedings of IEEE-ICC 2008. IEEE International Conference on Communications (ICC 2008). China: Beijing.
Muraleedharan R., Yan Y., Osadciw L.A. (2006) Increased efficiency of face recognition system using wireless sensor network. Systemics. Cybernetics and Informatics 4(1): 38–46
Yan, Y., Osadciw, L. A., & Chen, P. (2008). Confidence interval of feature number selection for face recognition. Journal of Electronic Imaging, 17(1).
Wu, H., & Abouzeid, A. A. (2005). Energy efficient distributed image compression in resource-constrained multihop wireless networks. Computer Communications, 28.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Razzak, M.I., Khan, M.K., Alghathbar, K. et al. Energy Efficient Distributed Face Recognition in Wireless Sensor Network. Wireless Pers Commun 60, 571–582 (2011). https://doi.org/10.1007/s11277-011-0310-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-011-0310-y