Abstract
This paper presents a method of recognition of human lips. It can be treated as a new kind of biometric measure. During image preprocessing, the features are extracted from the lip print image. In the same step, image is denoised and normalized and ROI is determined. In the next stage, the normalized cross-correlation method was applied to estimation of the biometric parameters EER, FAR, and FRR. Investigations were conducted on 120 lip print images. These images come from University of Silesia public repository http://biometrics.us.edu.pl. 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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Wrobel, K., Porwik, P., Doroz, R. (2016). Effective Lip Prints Preprocessing and Matching Methods. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-319-26227-7_33
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DOI: https://doi.org/10.1007/978-3-319-26227-7_33
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