Detecting the Reference Point in Fingerprint Images with the Use of the High Curvature Points
作者： Rafał Doroz , Krzysztof Wrobel , Malgorzata Palys
DOI: 10.1007/978-3-319-15705-4_9
关键词: Curvature 、 Fingerprint (computing) 、 Biometrics 、 Artificial intelligence 、 Object (computer science) 、 Computer vision 、 Computer science 、 Pixel
摘要: A new method for finding a reference point in fingerprints is presented this paper. The proposed study based on the IPAN99 algorithm used to detect high curvature points contour of graphical object. This was modified friction ridges order allow locating fingerprint. requires that being analysed should have thickness one pixel, so each fingerprint properly prepared before starting an analysis with use algorithm. In assess efficiency method, distances between coordinates determined and those indicated by expert were compared. compared other algorithms determination points.
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sci-hub.st 参考文章(15)
R. Doroz, K. Wróbel, New method for finding a reference point in fingerprint images with the use of the IPAN99 algorithm Journal of Medical Informatics and Technologies. ,vol. 13, pp. 59- 63 ,(2009)
Piotr Porwik, Krzysztof Wrobel, The New Algorithm of Fingerprint Reference Point Location Based on Identification Masks computer recognition systems. pp. 807- 814 ,(2005) , 10.1007/3-540-32390-2_95
Piotr Porwik, Lukasz Wieclaw, Fingerprint Reference Point Detection Using Neighbourhood Influence Method computer recognition systems. pp. 786- 793 ,(2007) , 10.1007/978-3-540-75175-5_97
Davide Maltoni, Anil K. Jain, Dario Maio, Salil Prabhakar, Handbook of Fingerprint Recognition ,(2005)
Michal Wozniak, Elif Derya Übeyli, Computer Recognition Systems 3 Expert Systems. ,vol. 27, pp. 3- 5 ,(2009) , 10.1111/J.1468-0394.2009.00536.X
Rong Wang, Bir Bhanu, Predicting fingerprint biometrics performance from a small gallery Pattern Recognition Letters. ,vol. 28, pp. 40- 48 ,(2007) , 10.1016/J.PATREC.2006.06.015
Krzysztof Wrobel, Rafal Doroz, The method for finding a reference point in fingerprint images basing on an analysis of characteristic points nature and biologically inspired computing. pp. 504- 508 ,(2011) , 10.1109/NABIC.2011.6089640
Krzysztof Wrobel, Rafal Doroz, Malgorzata Palys, A Method of Lip Print Recognition Based on Sections Comparison international conference on biometrics. pp. 47- 52 ,(2013) , 10.1109/ICBAKE.2013.10
ERTUGRUL SAATCI, VEDAT TAVSANOGLU, Fingerprint image enhancement using CNN filtering techniques. International Journal of Neural Systems. ,vol. 13, pp. 453- 460 ,(2003) , 10.1142/S012906570300173X
Unsang Park, Sharath Pankanti, A. K. Jain, Fingerprint verification using SIFT features Biometric Technology for Human Identification V. ,vol. 6944, ,(2008) , 10.1117/12.778804