Communications of the ACM
Biometric Identification through Hand Geometry Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
A single-sensor hand geometry and palmprint verification system
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Personal authentication using hand images
Pattern Recognition Letters
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Personal verification using palmprint and hand geometry biometric
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Combining fingerprint and hand-geometry verification decisions
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Biometric system for person recognition using gait
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Shape-based template matching for time series data
Knowledge-Based Systems
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Biometric authentication based on human physical traits has recently been heavily studied; these biometric sources include face, hand geometry, voice, fingerprint, iris, retina, etc. The hand geometry is one of the most conventional biometric since it is fairly easy to implement and acquire the data, comparing to other biometrics such as retina, iris, or DNA sequences. In this work, we propose a novel time series representation for hand geometry system by converting raw images into time series data, where this representation can gracefully handle variability of hand's position, translation, and rotation, especially in a peg-free system with the help of a Dynamic Time Warping similarity measure. We demonstrate the utility of our approach by implement-ting the real hand geometry verification/identification system, and it has proven to work effectively and competitively with low false acceptance and false rejection rates.