期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：1
页码：257-266
DOI：10.14257/ijhit.2015.8.1.23
出版社：SERSC
摘要：Fingerprint features recognition which can be used to distinguish between individuals is an intriguing study with many potential applications. In this paper, a new method for fingerprint recognition based on multifractal spectrum theory was proposed. The recognition process can be divided into the following main steps: (1) Extracting the core point in fingerprint; (2) Fragmenting the fingerprint image to get a subimage with fixed size; (3) Thinning the fingerprint image by using an improved OPTA algorithm; (4) Segmenting the curves in fingerprint image into digital straight segments with normalized straight length threshold; (5) Selecting the appropriate dividing scale to segment the processed fingerprint image; (6) Calculating and analyzing the multifractal spectrum curve ) ( . . f . ; (7) Fitting curve equation and extracting the characteristic parameters of ) ( . . f . ; (8) Finally, the parameters matching and fingerprint feature recognition. A large number of experimental results show that our method is effective.
关键词：Multifractal spectrum; Fingerprint capture; Digital straight segment; ; Fingerprint recognition
