Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Warping
Image Mosaicing for Rolled Fingerprint Construction
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Fingerprint fusion based on minutiae and ridge for enrollment
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Fast block matching algorithm based on the winner-update strategy
IEEE Transactions on Image Processing
Minutiae-based template synthesis and matching for fingerprint authentication
Computer Vision and Image Understanding
Rolled fingerprint construction using MRF-based nonrigid image registration
IEEE Transactions on Image Processing
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In this paper, we propose a new scheme that a user enrolls his fingerprint images sequentially captured by rolling and sliding his finger, thus continuously contacting on the sensor. We also developed an image-fusion algorithm to mosaic the images obtained by the enrollment scheme. Conventional fusion algorithms for fingerprint images are based on large-sized sensors, and they are easily failed to combine images if there are not enough common areas among images. Our enrollment scheme assures that the common area between two sequential images is large enough to be combined even with a small-sized sensor. Experimental results show that average combined images are 1.91 times larger than a single image, and success rate for combining is 2.3 times higher than a conventional dab approach.