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Czasopismo
2012 | Vol. 42, nr 4 | 865--873
Tytuł artykułu

Person identification system using an identikit picture of the suspect

Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
The article presents a person identification system, which may work with an identikit picture. The identikit picture (sketch) is often used in practice as an investigative tool to search for the perpetrators of an unknown identity. With a portrait of the perpetrator of a crime, one may identify the criminal. When the face database for comparisons is large, this is labour-absorbing. With the help of a computer system of face identification, this process becomes quick and easy.
Wydawca

Czasopismo
Rocznik
Strony
865--873
Opis fizyczny
Bibliogr. 20 poz., rys., wykr.
Twórcy
autor
  • Institute of Computer and Information Sciences, Częstochowa University of Technology, Dąbrowskiego 73, 42-201 Częstochowa, Poland, januszb@icis.pcz.pl
autor
Bibliografia
  • [1] KOZIEŁ T., DĘBIŃSKI Z., Portret obrazowy w identyfikacji i poszukiwaniu osób, Problemy Kryminalistyki, No. 197–198, 1992, p. 10, (in Polish).
  • [2] XIAOYANG TAN, SONGCAN CHEN, ZHI-HUA ZHOU, FUYAN ZHANG, Face recognition from a single image per person: A survey, Pattern Recognition 39(9), 2006, pp. 1725–1745.
  • [3] SONG CHEN, TAO ZHANG, CHENGPU ZHANG, YU CHENG, A real-time face detection and recognition system for a mobile robot in a complex background, Artificial Life and Robotics 15(4), 2010, pp. 439–443.
  • [4] KIRBY M., SIROVICH L., Application of the Karhunen–Loeve procedure for the characterization of human faces, IEEE Transactions on Pattern Analysis and Machine Intelligence 12(1), 1990, pp. 103–108.
  • [5] JEN-TZUNG CHIEN, CHIA-CHEN WU, Discriminant waveletface and nearest feature classifiers for face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 24(12), 2002, pp. 1644–1649.
  • [6] SAMARIA F, YOUNG S., HMM-based architecture for face identification, Image and Vision Computing 12(8), 1994, pp. 537–543.
  • [7] Norm ISO/IEC JTC 1/SC 37 Biometric Data Interchange Formats – Part 5: Face Image Data.
  • [8] GARCIA C., ZIKOS G., TZIRITAS G., Wavelet pocket analysis for face recognition, Image and Vision Computing 18(4), 2000, pp. 289–297.
  • [9] KOZUANI A.Z. HE F. SAMMUT K., Wavelet packet face representation and recognition, IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 1997, pp. 1614–1619.
  • [10] RABINER L.R., A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE 77(2), 1989, pp. 257–286.
  • [11] KANUNGO T., Hidden Markov Model Tutorial, www.cfar.umd.edu/kanungo
  • [12] Wavelet Toolbox User’s Guide, MatLab 5.0, The MathWorks.
  • [13] JIAN YANG, ZHANG D., FRANGI A.F., JING-YU YANG, Two-dimensional PCA: a new approach to appearance-based face representation and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 26(1), 2004, pp. 131–137.
  • [14] LE H.-S., LI H., Recognizing frontal face images using hidden Markov models with one training image per person, Proceedings of the 17th International Conference on Pattern Recognition (ICPR04), Vol. 1, 2004, pp. 318–321.
  • [15] JIANXIN WU, ZHI-HUA ZHOU, Face recognition with one training image per person, Pattern Recognition Letters 23(14), 2002, pp. 1711–1719.
  • [16] SONGCAN CHEN, DAOQIANG ZHANG, ZHI-HUA ZHOU, Enhanced (PC)2A for face recognition with one training image per person, Pattern Recognition Letters 25(10), 2004, pp. 1173–1181.
  • [17] SONGCAN CHEN, JUN LIU, ZHI-HUA ZHOU, Making FLDA applicable to face recognition with one sample per person, Pattern Recognition 37(7), 2004, pp. 1553–1555.
  • [18] JIAN HUANG, YUEN P.C., WEN-SHENG CHEN, LAI J.H., Component-based LDA method for face recognition with one training sample, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), 2003, pp. 120–126.
  • [19] WISKOTT L., FELLOUS J.-M., KRÜGER N., VON DER MALSBURG C., Face recognition by elastic bunch graph matching, IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 1997, pp. 775–779.
  • [20] JIE WANG, PLATANIOTIS K.N., VENETSANOPOULOS A.N., Selecting discriminant eigenfaces for face recognition, Pattern Recognition Letters 26(10), 2005, pp. 1470–1482.
Typ dokumentu
Bibliografia
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