Three measures for secure palmprint identification
Pattern Recognition
A survey of palmprint recognition
Pattern Recognition
Accurate Palmprint Recognition Using Spatial Bags of Local Layered Descriptors
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Palmprint Recognition Based on Regional Rank Correlation of Directional Features
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Parallel versus Serial Classifier Combination for Multibiometric Hand-Based Identification
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
International Journal of Biometrics
Palmprint identification using pairwise relative angle and EMD
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Fast palmprint identification with multiple templates per subject
Pattern Recognition Letters
Palmprint verification using GridPCA for Gabor features
Proceedings of the Second Symposium on Information and Communication Technology
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
A two-level matching scheme for speedy and accurate palmprint identification
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Eigen palmprint authentication system using dimension reduction of singular vector
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Multi-scale palmprint recognition using registration information and 2d gabor feature
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
A bimodal palmprint verification system
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Verification of biometric palmprint patterns using optimal trade-off filter classifiers
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
A novel automated hand-based personal identification
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
GridLDA of Gabor wavelet features for palmprint identification
Proceedings of the Third Symposium on Information and Communication Technology
Embedded palmprint recognition system on mobile devices
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Consistency analysis on orientation features for fast and accurate palmprint identification
Information Sciences: an International Journal
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Automatic personal identification is a significant component of security systems with many challenges and practical applications. The advances in biometric technology have led to the very rapid growth in identity authentication. This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as feature extraction, representation, indexing, similarity measurement, and fast search for the best match, we propose a hierarchical multifeature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In our approach, four-level features are defined: global geometry-based key point distance (Level-1 feature), global texture energy (Level-2 feature), fuzzy "interest" line (Level-3 feature), and local directional texture energy (Level-4 feature). In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by a coarse-to-fine guided search. The proposed method has been tested in a database with 7752 palmprint images from 386 different palms. The use of Level-1, Level-2, and Level-3 features can remove candidates from the database by 9.6%, 7.8%, and 60.6%, respectively. For a system embedded with an Intel Pentium III processor (500 MHz), the execution time of the simulation of our hierarchical coding scheme for a large database with 106 palmprint samples is 2.8 s while the traditional sequential approach requires 6.7 s with 4.5% verification equal error rate. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.