Abstract
This paper presents a method of lip print comparison and recognition. In the first stage the appropriate lip print features are extracted. Lip prints can be captured by police departments. Traces from lips may also found at a crime scene. The approach uses the well known DTW algorithm and Copeland vote counting method. Tests were conducted on 120 lip print images. The results obtained are very promising and suggest that the proposed recognition method can be introduced into professional forensic identification systems.
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Kasprzak, J., Leczynska, B.: Cheiloscopy. Human Identification on the Basis of a Lip Trace, pp. 11–29 (2001) (in Polish)
Sharma, P., Saxwna, S., Rathod, V.: Comparative reliability of cheiloscopy and palatoscopy in human identification. Indian Journal of Dental Research 20(4), 453–457 (2009)
Tsuchihashi, Y.: Studies on personal identification by means of lip prints. Forensic Science, 127–231 (1974)
Dougherty, E.: An introduction to morphological image processing (1992)
Rath, T.M., Manmatha, R.: Word image matching using dynamic time warping. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 521–527 (2003)
Smacki, L., Wrobel, K.: Lip Print Recognition Based on Mean Differences Similarity Measure. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Computer Recognition Systems 4. AISC, vol. 95, pp. 41–49. Springer, Heidelberg (2011)
Smacki, L.: Lip traces recognition based on lines pattern. Journal of Medical Informatics and Technologies 15, 53–60 (2010)
Smacki, L., Porwik, P., Tomaszycki, K., Kwarcinska, S.: Lip print recognition using the Hough transform. Journal of Medical Informatics and Technologies 14, 31–38 (2010)
Smacki, L., Wrobel, K., Porwik, P.: Lip print recognition based on the DTW algorithm. In: Proc. of the Nature and Biologically Inspired Computing, Conf. Salamanca, Spain, pp. 601–606 (2011)
Utsuno, H., et al.: Preliminary study of post mortem identification using lip prints. Forensic Science International. 149(2-3), 129–132
Segui, M.A., et al.: Persistent lipsticks and their lip prints: new hidden evidence at the crime scene. Forensic Science International 112(1), 41–47 (2000)
Boole, R.M., et al.: Guide to biometrics. Springer Science+Buisnes Media Inc. (2004)
Kim, J.O., et al.: Lip print recognition for security systems by multi resolution architecture. Future Generation Computer Systems (20), 295–301 (2004)
Monwar, M., Gavrilova, M.L.: Robust Multimodal Biometric System using Markov Chain based Rank Level Fusion. In: VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, vol. 2, pp. 458–463 (2010)
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Porwik, P., Orczyk, T. (2012). DTW and Voting-Based Lip Print Recognition System. In: Cortesi, A., Chaki, N., Saeed, K., Wierzchoń, S. (eds) Computer Information Systems and Industrial Management. CISIM 2012. Lecture Notes in Computer Science, vol 7564. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33260-9_16
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DOI: https://doi.org/10.1007/978-3-642-33260-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33259-3
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