Cheiloscopy. Human identification on the basis of a lip trace, pp.11-29, 2001. ,
DOI : 10.1006/rwfs.2000.0436
Comparative reliability of cheiloscopy and palatoscopy in human identification, Indian Journal of Dental Research, vol.20, issue.4, pp.453-457, 2009. ,
DOI : 10.4103/0970-9290.59451
Studies on personal identification by means of lip prints, Forensic Science, vol.3, pp.127-231, 1974. ,
DOI : 10.1016/0300-9432(74)90034-X
An introduction to morphological image processing, 1992. ,
Word image matching using dynamic time warping, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., pp.521-527, 2003. ,
DOI : 10.1109/CVPR.2003.1211511
URL : http://ciir.cs.umass.edu/pubfiles/mm-38.pdf
Lip Print Recognition Based on Mean Differences Similarity Measure, Advances in Intelligent and Soft Computing (AISC), pp.41-50, 2011. ,
DOI : 10.1007/978-3-642-20320-6_5
Lip traces recognition based on lines pattern, Journal of Medical Informatics and Technologies, vol.15, pp.53-60, 2010. ,
Lip print recognition using the Hough transform, Journal of Medical Informatics and Technologies, vol.14, pp.31-38, 2010. ,
Lip print recognition based on DTW algorithm, 2011 Third World Congress on Nature and Biologically Inspired Computing, pp.601-606, 2011. ,
DOI : 10.1109/NaBIC.2011.6089655
Preliminary study of post mortem identification using lip prints, Forensic Science International, vol.149, issue.2-3, pp.2-3 ,
DOI : 10.1016/j.forsciint.2004.05.013
Persistent lipsticks and their lip prints: new hidden evidence at the crime scene, Forensic Science International, vol.112, issue.1, pp.41-47, 2000. ,
DOI : 10.1016/S0379-0738(00)00173-0
Guide to biometrics, 2004. ,
DOI : 10.1007/978-1-4757-4036-3
Lip print recognition for security systems by multi-resolution architecture, Future Generation Computer Systems, vol.20, issue.2, pp.295-301, 2004. ,
DOI : 10.1016/S0167-739X(03)00145-6
Robust Multimodal Biometric System using Markov Chain based Rank Level Fusion, VISAPP 2010 -Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, pp.458-463, 2010. ,
DOI : 10.1109/tsmcb.2008.2009071