Circle fitting by linear and nonlinear least squares
Journal of Optimization Theory and Applications
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Registration of 3D Cerebral Vessels to X-ray Angiograms
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Automatic Fingerprint Recognition Systems
Automatic Fingerprint Recognition Systems
Texturing: Concepts and Techniques
Texturing: Concepts and Techniques
Image Restoration of Arbitrarily Warped Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Evaluation of Fingerprint Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new approach to unwrap a 3-D fingerprint to a 2-D rolled equivalent fingerprint
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
The surround Imager™: a multi-camera touchless device to acquire 3d rolled-equivalent fingerprints
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Personal authentication using 3-D finger geometry
IEEE Transactions on Information Forensics and Security
Biometrics: a tool for information security
IEEE Transactions on Information Forensics and Security
An algorithm for distorted fingerprint matching based on local triangle feature set
IEEE Transactions on Information Forensics and Security
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To solve the problems associated with conventional 2-D fingerprint scanners such as skin deformation and print smearing, in this paper we introduce a noncontact fingerprint scanner employing structured light illumination to generate high-resolution albedo images as well as 3-D ridge scans. The question to be answered in this research is whether or not ridge depth information improves the quality and matching capability of acquired fingerprints? For evaluation of this question, we use the National Institute of Standards and Technology fingerprint image quality metrics. These metrics require the 3-D prints to be flattened. We present a complete and detailed flattening algorithm based upon unfolding an elastic tube fit to the peaks and valleys of ridges identified within the scan. Further improvement of the flattened print is achieved through the incorporation of ridge information extracted from the albedo image with the depth and albedo ridge information fused together according to local scan quality. Our study compares image quality between the flattened 3-D prints and ink rolled prints. Most significantly, the matching performance of 3-D flattened to 3-D flattened prints is evaluated based on ridge depth only, albedo only, and depth with albedo fusion.