Title :
New algorithm of automation fingerprint recognition
Author :
Meng, Xiangping ; Wu, Zengguang ; Zhao, Yulan
Author_Institution :
Sch. of Electr. & Inf. Technol., Changchun Inst. of Technol., Changchun
Abstract :
A method to extract fingerprint minutiaes was proposed. Acquired binary image, thinned the ridges and valleys respectively, then extracted ridge bifurcations and valley bifurcations as the key minutiaes from the ridge thinned image and valley thinned image. In addition, the working principle of AFIS was analysed and achieved on PC. The experimental results show that the proposed algorithm has a high recognition rate and robust.
Keywords :
bifurcation; feature extraction; fingerprint identification; image thinning; automation fingerprint recognition; binary image; fingerprint minutiae extraction; ridge bifurcation; ridge thinned image; valley bifurcation; valley thinned image; Algorithm design and analysis; Automation; Bifurcation; Data mining; Feature extraction; Fingerprint recognition; Histograms; Image matching; Information technology; Logistics; directional image; fingerprint identification; minutiae extraction;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636266
