Slap Fingerprint Recognition for HD Mobile Phones

This paper proposes an efficient recognition algorithm for the four finger slaps captured by HD mobile phones. Firstly, statistical histogram is used to segment the minutiae set extracted from a slap image; secondly, RST-invariant feature descriptor (RST-IFD) is proposed to match two minutiae sets....

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Bibliographic Details
Published inBiometric Recognition Vol. 9428; pp. 250 - 257
Main Authors Zhang, Yongliang, Wu, Hongtao, Huang, Congmin, Yang, Jinlei, Jiang, Xiaoli
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2015
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Algorithms & data structures
Four finger slap
HD mobile phones
Image processing
Pattern recognition
RST-Invariant Feature Descriptor
Statistical histogram
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Summary:This paper proposes an efficient recognition algorithm for the four finger slaps captured by HD mobile phones. Firstly, statistical histogram is used to segment the minutiae set extracted from a slap image; secondly, RST-invariant feature descriptor (RST-IFD) is proposed to match two minutiae sets. Experimental results show that the proposed algorithm has the characteristics of higher compatibility and higher speed, not only for the slaps captured by live-scan sensors but also for those captured by HD mobile phones.
ISBN:3319254162
9783319254166
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-25417-3_30