Biometric Identification through Hand Geometry Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
A mobile-oriented hand segmentation algorithm based on fuzzy multiscale aggregation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Application of Projective Invariants in Hand Geometry Biometrics
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Image Processing
Two unconstrained biometric databases
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
| Hi-index | 0.00 |
Hand biometrics relies strongly on a proper hand segmentation and a feature extraction method to obtain accurate results in individual identification. Former operations must be carried out involving as less user collaboration as possible, in order to avoid intrusive or invasive actions on individuals. This document presents an approach for hand segmentation and feature extraction on scenarios where users can place the hand on a flat surface freely, without no constraint on hand openness, rotation and pressure. The performance of the algorithm highlights the fact that in less than 4 seconds, the method can detect properly finger tips and valleys with a global accuracy of 97% on a database of 300 users, achieving the second position in the International Hand Geometric Competition HGC 2011.