Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The paper presents a new method for identification of fragments of lip print images on the basis of the Generalized Hough Transform (GHT). The effectiveness of this method was verified in practice. The maximum value obtained from the accumulator array after the Hough transform has been assumed as the measure of similarity between a lip print image and a reference object. The advantage of this method is the possibility of use in forensic science to identify persons who left lip prints at crime scenes.
Rocznik
Tom
Strony
189--193
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
autor
- University of Silesia, Institute of Computer Science, Będzińska 39, 41-200 Sosnowiec, Poland
autor
- University of Silesia, Institute of Computer Science, Będzińska 39, 41-200 Sosnowiec, Poland
Bibliografia
- [1] BAKSHI S., RAMAN R., SA PK., Lip Pattern Recognition based on Local Feature Extraction. Proceedings of 2011 Annual IEEE India Conference (INDICON), India, 2011.
- [2] BALLARD D. H., Generalizing the Hough Transform to Detect Arbitrary Shapes, Pattern Recognition, 1981, Vol. 13, No. 2, pp. 111-122.
- [3] CASTLEMAN K. R., Digital Image Processing. Printice-Hall, New Jersey, 1996.
- [4] CHORAS M., The lip as a biometric, Pattern Analysis and Applications, 2010, Vol. 13, No. 1, pp. 105-112.
- [5] DUDA R. O., HART P. E., Use of Hough transformation to detect lines and curve in pictures. Comm. ACM, 1972, Vol. 15, pp. 11-15.
- [6] HOUGH P. V. C., Method and Means for recognizing complex pattern. U.S. Patent No. 3069654, 1962.
- [7] HOUGH P. V. C., Machine analysis of bubble chamber pictures, Proc. Int. Conf. on High Energy Accelerators and Instrumentation, 1959.
- [8] ILLINGWORTH J., KITTLER J., A Survey of the Hough Transform. Computer Vision, Graphic and Image Processing, 1988, No. 44, pp. 87-116.
- [9] KASPRZAK J., LECZYNSKA B., CHEILOSCOPY. Human identification on the basis of lip trace (in Polish), 2001.
- [10] MANSFIELD A., WAYMAN J., Best practice standards for testing and reporting on biometric device performance. National Physical Laboratory of UK, 2002.
- [11] NEWTON M., The Encyclopedia of Crime Scene Investigation, 2008.
- [12] PAVLIDIS T., A thinning algorithm for discrete binary images. Computer Graphics and Image Processing, 1980, Vol. 13, pp. 142-157.
- [13] PETHERICK W. A., TURVEY B. E., FERGUSON C. E., Forensic Criminology. London: Elsevier Academic Press, 2010.
- [14] PORWIK P., ORCZYK T., DTW and Voting-Based Lip Print Recognition System. LNCS, 2012, Vol. 7564, pp. 191-202.
- [15] PORWIK P., WIECLAW L., The New Efficient Method of Fingerprint Image Enhancement. International Journal of Biometrics, Inderscience Publisher 2008, Vol. 1, No. 1, pp. 36-46.
- [16] RIDLER T. W., CALVARD S., Picture thresholding using an iterative selection method. IEEE Transactions on Systems, Man, and Cybernetics, 1978, Vol. 8, No.8, pp. 630-632.
- [17] SAPTARSHI BHATTACHARJEE, S ARUNKUMAR, SAMIR KUMAR BANDYOPADHYAY, Personal Identification from Lip-Print Features using a Statistical Model. International Journal of Computer Applications, 2012, Vol. 55, No. 13, pp. 30-34.
- [18] SMACKI L., WROBEL K., Lip Print Recognition Based on Mean Differences Similarity Measure, Advences in Intelligent and Soft Computing (AISC), 2011, Vol. 95, pp. 41-50.
- [19] SMACKI L., WROBEL K., PORWIK P., Lip Print Recognition Based on DTW Algorithm. Proceedings of Nature and Biologically Inspired Computing (NaBIC’11), Spain, Salamanca, pp. 601-606.
- [20] SUZUKI K., TSUCHIHASHI Y., Personal identification by means of lip prints, Journal of Forensic Medicine, 1970, Vol. 17, pp. 52-57.
- [21] TSUCHIHASHI Y., Studies on personal identification by means of lip prints, Forensic Science, 1974, pp. 127-231.
- [22] WROBEL K., DOROZ R., PALYS M., A method of lip print recognition based on sections comparison, IEEE Int. Conference on Biometrics and Kansei Engineering (ICBAKE 2013), Tokyo Metropolitan University Akihabara, Tokyo, Japan, 2013, pp. 47-52.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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