Title :
Template synthesis and image mosaicking for fingerprint registration: an experimental study
Author :
Moon, Y.S. ; Yeung, H.W. ; Chan, K.C. ; Chan, S.O.
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China
Abstract :
Fingerprint registration becomes an important issue for the success of reliable fingerprint verification using small solid state fingerprint sensors. Current major registration techniques include template synthesis and fingerprint image mosaicking. Template synthesis merges the fingerprint features while image mosaicking merges the fingerprint images to generate a composite fingerprint image from features of the images. In this paper, these two techniques were studied and compared under a unique framework to review their characteristics operating under fingerprint images of different sizes. Experiments show that both techniques could have their own merits. In particular, we also present a fingerprint oriented ICP (iterative closest point) algorithm that aligns the images based on their extracted minutiae.
Keywords :
feature extraction; fingerprint identification; image registration; image segmentation; iterative methods; composite fingerprint image; feature merging; fingerprint oriented ICP algorithm; fingerprint registration; image alignment; image merging; image mosaicking; iterative closest point algorithm; minutiae extraction; reliable fingerprint verification; solid state fingerprint sensors; template synthesis; Authentication; Biosensors; Fingerprint recognition; Fingers; Image matching; Iterative closest point algorithm; Pixel; Sensor phenomena and characterization; Solid state circuits; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1327134