Applying multifractal spectrum theory to fingerprint features recognition

作者：Ni, Hai Ming; Qi, Da Wei; Mu, Hong Bo

来源：International Journal of Hybrid Information Technology, 2015, 8(1): 257-266.

DOI：10.14257/ijhit.2015.8.1.23

• Digital straight segment
• Fingerprint capture
• Fingerprint features
• Fingerprint images
• Fingerprint Recognition
• Fitting curves
• Multi-fractal spectrum
• Recognition process

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 α-f (α);(7) Fitting curve equation and extracting the characteristic parameters of α-f (α);(8) Finally, the parameters matching and fingerprint feature recognition. A large number of experimental results show that our method is effective.

• 出版日期2015
• 单位东北林业大学