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Rosli, Ahmad Nasir Che (2010)
Publisher: InTech
Languages: English
Types: Part of book or chapter of book

Classified by OpenAIRE into

This chapter describes the design and implementation of an Embedded System for Biometric Identification from hardware and software perspectives. The first part of the chapter describes the idea of biometric identification. This includes the definition of
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Aaraj, N., Ravi, S., Raghunathan, A., and Jha, N. K., (2006) Architectures for efficient face authentication in embedded systems, Proceedings of the conference on Design, automation and test in Europe: Designers' forum, Munich, Germany, EDAA, p. 1-6,
    • Abreu, B., Botelho, L., Cavallaro, A., Douxchamps, D., Ebrahimi, T., Figueiredo, P., Macq, B., Mory, B., unes, L., Orri, J., Trigueiros, M.J. and Violante, A.,“Video-based multiagent traffic surveillance system,” in Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE, 2000, pp. 457 - 462.
    • Al-Ali, A., Al-Rousan, M., and Al-Shaikh, M. (2003) Embedded system-based mobile patient monitoring device. In Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium, pages 355- 360, 2.3.7
    • Baber, C. and Baumann, K., (2002) Embedded human computer interaction. Applied Ergonomics, 33(3):273- 287, 2.3.7
    • Badlishah, R. Ahmad, Wan Muhamad Azmi Mamat, Ahmad Nasir Che Rosli, (2006a) System Application Development : Single Board Computer (SBC) & Gnu/Linux for Robotic Application, Proceedings of the International Conference on Underwater System Technology : Theory and Applications 2006 (USYS'06), USM, Penang.
    • Badlishah, R. Ahmad, Wan Muhamad Azmi Mamat, Ahmad Nasir Che Rosli, Suhizaz Sudin, (2006b) Embedded Linux in KUKUM: Towards High End Embedded System Product Design, Malaysian Technical Universities Conference on Engineering and Technology 2006 (MUCET 2006), KUiTHHO
    • Bramberger, M., Doblander, A., Maier, A., Rinner, B. and Schwabach, H. (2006)“Distributed embedded smart camera for surveillance applications”, Computer, vol. 39, no. 2, pp. 68-75.
    • Blackburn, D., Bone, M., and Phillips, P. J., (2001) Face Recognition vendor test 2000. Tech. rep. 2001. http://www.frvt.org.
    • Cao Z.Y., Ji, Z.Z. and Hu, M.Z. “An image sensor node for wireless sensor networks,” in Proc. International Conference on Information Technology: Coding and Computing (ITCC 2005), Apr. 2005, vol. 2, pp. 740-745.
    • Chellappa, R., Wilson, C.L. and Sirohey, C., (1995) ”Humain and machine recognition of faces: A survey,” Proc. IEEE, vol. 83, no. 5, pp. 705-740.
    • Comerford, R., (1998) Pocket computers ignite OS battle. IEEE Spectrum, May. 2.2
    • Dan, H., (2003) An autonomous mobile robot development platform for teaching a graduate level mechatronics course. 33rd ASEE/IEEE Frontiers in Education Conference.
    • Deb, S., Ghoshal, S., Malepati, V. and Kleinman, D., (2000) Tele-diagnosis: remote monitoring of large-scale systems. In Aerospace Conference Proceedings, 2000 IEEE, volume 6, pages 31-42, 2.3.7
    • Downes, I., Baghaei R.L. and Aghajan H., “Development of a mote for wireless image sensor networks,” in Proc. COGnitive Systems with Interactive Sensors (COGIS 2006), Mar. 2006.
    • Dufey, J, Jost, B., Neufeld, N. and Zuin, M. (2000) Event building in an intelligent network interface card for the lhcb readout network. In Nuclear Science Symposium Conference Record, 2000 IEEE, volume 3, pages 26/50 -26/53, 2.3.7
    • Fleck S. and Straßer, W., “Adaptive Probabilistic Tracking Embedded in a Smart Camera,” in IEEE Embedded Computer Vision Workshop (ECVW) in conjunction with IEEE CVPR 2005, 2005, pp. 134 - 134.
    • Fleck S., Busch, F., Biber, P. and Straßer, W. “3D Surveillance - A Distributed Network of Smart Cameras for Real-Time Tracking and its Visualization in 3D,” in Computer Vision and Pattern Recognition Workshop, 2006 Conference on, Jun. 2006, pp. 118 - 118.
    • Fleck S., Busch, F., Biber, P. and Straßer, W. “Adaptive Probalistic Tracking Embedded in Smart Cameras for Distributed Surveillance in a 3D model”, EURASIP Journal on Embedded Systems, 2007.
    • Fryer, R., (1998) Low and non-intrusive software instrumentation: a survey of requirements and methods. In Digital Avionics Systems Conference, 1998. Proceedings., 17th DASC. The AIAA/IEEE/SAE, volume 1, pages C22/1 -C22/8, 2.3.7
    • Garcia, R.L., Carlos Alberola-L'opez, Otman Aghzout and Juan Ruiz-Alzola, (2003) Biometric identification systems, Signal Processing, Vol. 83, Issue 12, pp. 2539 - 2557.
    • Galton, F., (1888) “Personal identification and description,” In Nature, pp. 173-177, June 21.
    • Gori, L., Tommasini, R., Cautero, G., Giuressi, D., Barnaba, M., Accardo, A., Carrato, S. and Paolucci, G. (1999) An embedded control and acquisition system for multichannel detectors. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 431(1-2):338-346, 2.3.7
    • Hengstler, S. and Aghajan, H.,”A smart camera mote architecture for distributed intelligent surveillance” in International Workshop on Distributed Smart Cameras (DSC-06) in conjunction with The 4th ACM Conference on Embedded Networked Sensor Systems (SenSys 2006), 2006.
    • Jain, A.K. Bolle, R. and Pankanti, S. (eds.), (1998) Biometrics, Personal Identification in Networked Society, Kluwer Academic Publishers, Norwell, MA.
    • Jain, A.K., Hong, L. and Pankanti, S. (eds.), (2000) Biometric Identification, Communications of the ACM, February, ACM Press, New York USA, Vol. 43, Issue 2, pp 90-98.
    • Jain, A.K, Arun Ross and Salil Prabhakar, (2004) An Introduction to Biometric Identification, in IEEE Transaction on Circuits and Systems for Video Technology, Special Issue on Image and Video-Based Biometrics, Vol. 14, No. 1.
    • Kleihorst, P., Schueler, B., Danilin, A. and Heijligers, M., ”Smart camera mote with high performance vision system” in International Workshop on Distributed Smart Cameras (DSC-06) in conjunction with The 4th ACM Conference on Embedded Networked Sensor Systems (SenSys 2006), 2006.
    • Kroll, M., Schütze, B., Geisbe, T., Lipinski, H.G., Grönemeyer, D.H.W. and Filler, T.J. (2003) Embedded systems for signing medical images using the dicom standard,. In International Congress Series, volume 1256, pages 849-854, 2.3.7
    • Lamberti, F and Demartini, C. (2003) Low-cost home monitoring using a java-based embedded computer. In Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference, pages 342-345, 2.3.7.
    • LinuxDevices.com., (n.d.) A Linux-oriented Intro to Embeddable Single Board Computers. Citing Internet Sources. Retrieved on 2007-08-21 from URL http://www.linuxdevices.com/articles/AT6449817972.html.
    • Messer, K., Matas, J., Kittler, J., Luettin, J., and Maitre, G., (1999) XM2VTSDB: The Extended M2VTS Database. In Proceedings, International Conference on Audio and Video-Based Person Authentication. pp. 72-77.
    • Oliveira, F.D.R., Chalimbaund, P., Berry, F., Serot, J. and Marmoiton, F. “Embedded early vision systems: implementation proposal and hardware architecture,” in Proc. COGnitive Systems with Interactive Sensors (COGIS 2006), Mar. 2006.
    • Perera, A., Papamichail, N. , Bârsan, N., Weimar, U., Marco, S., (2003) On-line Event Detection by Recursive Dynamic Principal Component Analysis and Gas Sensor Arrays under drift conditions, In Proceedings of the 2nd IEEE international conference on sensors, Toronto, Canada.
    • Phillips, P. J., Wechsler, H., Rizvi, S., and Rauss, P., (1998) The FERET database and evaluation procedure for face-recognition algorithms. Image Vis. Comput. 16, pp. 295-306.
    • Phillips, P. J., Moon, H., Rizvi, S., and Rauss, P., (2000) The FERET evaluation methodology for face recognition algorithms, IEEE Trans. Patt. Anal. Mach. Intell. 22.
    • Phillips, P. J., Grother, P. J. , Micheals, R. J., Blackburn, D. M., Tabassi, E., and Bone, J. M., (2003) Face Recognition vendor test 2002: Evaluation report. NISTIR 6965, http://www.frvt.org.
    • Quaritsch, M., Kreuzthaler, M., Rinner, B., Strobl, B.,“Decentralized Object Tracking in a Network of Embedded Smart Cameras” in International Workshop on Distributed Smart Cameras (DSC-06) in conjunction with The 4th ACM Conference on Embedded Networked Sensor Systems (SenSys 2006), 2006, pp. 99 - 104
    • Rahimi M, Baer, R., Iroezi, O.I., Garcia, J.C., Warrior, J., Estrin, D. and Srivastava, M. “Cyclops: In situ image sensing and interpretation in wireless sensor networks,” in Proc. 3rn International Conference on Embedded Networked Sensor Systems (SenSys '2005), Nov 2005, pp. 192-204.
    • Ramamritham, K. and Arya, K. (2003) System support for embedded applications. In Proceedings. 16th International Conference on VLSI Design, 2003, pages 22-26, 2.3.7
    • Ratha, N.K., Senior, A., Bolle, R.M., (2001) Tutorial on automated biometrics, in Proceedings of International Conference on Advances in Pattern Recognition, Rio de Janeiro, Brazil.
    • Remagnino, P., Orwell, J., Greenhill, D., Jones, G.A. and Marchesotti, L., Multimedia Video Based Surveillance Systems: Requirements, Issues and Solutions. Kluwer Academic Publishers, 2001, ch. An Agent Society for Scene Interpretation, pp. 108 - 117.
    • Richard A. Sevenich, (2004), An Introduction to Embedded Linux Development: Part 1, Citing Internet Source, Retrieved March 20, 2006, URL: http://www.linuxdevices.com/.
    • Rizvi, S. A., Phillips, P. J., and Moon, H., (1998) A verification protocol and statistical performance analysis for face recognition algorithms. In Proceedings, IEEE Conference on Computer Vision and Pattern Recognition. Pp. 833-838.
    • Robert A. Burckle, (n.d.) The evolution of Single Board Computers. Citing Internet Sources. Retrieved on 2007-08-21 from URL http://www.winsystems.com
    • Rowe, A., Rosenberg, C. and Nourbakhsh, I. “A second generation low cost embedded color vision system,” in IEEE Embedded Computer Vision Workshop (ECVW) in conjunction with IEEE CVPR 2005, vol. 3, 2005, pp. 136 - 136.
    • Stepner, D., Nagarajan Rajan, David Hui , (1999) Embedded Application Design Using a Real-Time OS, Proceedings of the 36th ACM/IEEE conference on Design automation DAC '99.
    • Tan, T., Raghunathan, A. and Jha, N. (2003) A simulation framework for energyconsumption analysis of os-driven embedded applications. Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, pages 1284- 1294, 2.3.7
    • Tolba, A. S., El-Baz, A. H. and El-Harby, A. A, (2005) Face Recognition: A Literature Review, International Journal of Signal Processing, Vol. 2, No. 2, pp 88-103.
    • Velipasalar, S., Schlessman, J., Chen, C.-Y., Wolf, W. and Singh J. P., “SCCS: A Scalable Clustered Camera System for Multiple Object Tracking Communicating via Message Passing Interface,” in Multimedia and Expo, 2006. ICME 2006. IEEE International Conference on, 2006.
    • Wiencke, L., (2006) TS5500 Single Board Computer, Citing Internet sources URL http://www.physics.utah.edu/~wiencke/pc104html/5500.html
    • Williams, A., Xie, D., Ou, S., Grupen, R., Hanson, A. and Riseman, E. ”Distributed smart cameras for aging in place” in International Workshop on Distributed Smart Cameras (DSC-06) in conjunction with The 4th ACM Conference on Embedded Networked Sensor Systems (SenSys 2006), 2006.
    • Wolf, W., Ozer, B. and Lv, T. “Smart cameras as embedded systems,” Computer, vol.35. no 9, pp. 48-53, 2002.
    • Wood, S., (2006) Using many PC/104 serial ports. Citing Internet sources URL http://www.jlab.org/~Esaw/pc104/
    • Zaho, W., (1999) “Robust image based 3D face recognition,” Ph.D. Thesis, Maryland University.
    • Zhao, W., Rama Chellappa, P.J. Jonathon Phillips, and Azriel Rosenfeld, (2003) Face Recognition: A Literature Survey, ACM Computing Survey, December Issue, pp. 399-458.
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