A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Continuous versus exclusive classification for fingerprint retrieval
Pattern Recognition Letters
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Classification by Directional Image Partitioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Combination Fingerprint Classifier
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Online Fingerprint Template Improvement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Classification with Combinations of Support Vector Machines
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint Classification by Combination of Flat and Structural Approaches
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint Indexing Based on Novel Features of Minutiae Triplets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Preselection Using Eigenfeatures
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A Clustering Based Approach to Efficient Image Retrieval
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Fingerprint Identification: Classification vs. Indexing
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Reference Point Detection for Fingerprint Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Extracting image orientation feature by using integration operator
Pattern Recognition
Fingerprint reference-point detection
EURASIP Journal on Applied Signal Processing
On orientation and anisotropy estimation for online fingerprint authentication
IEEE Transactions on Signal Processing - Part II
Cluster-driven refinement for content-based digital image retrieval
IEEE Transactions on Multimedia
Descriptors for image-based fingerprint matchers
Expert Systems with Applications: An International Journal
Fingerprint classification based on Adaboost learning from singularity features
Pattern Recognition
Proceedings of the 2010 Symposium on Information and Communication Technology
Invariant representation of orientation fields for fingerprint indexing
Pattern Recognition
Clustering-Based descriptors for fingerprint indexing and fast retrieval
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Fingerprint indexing with bad quality areas
Expert Systems with Applications: An International Journal
Indexing and retrieving in fingerprint databases under structural distortions
Expert Systems with Applications: An International Journal
Fingerprint orientation field reconstruction by weighted discrete cosine transform
Information Sciences: an International Journal
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Fingerprint identification has been a great challenge due to its complex search of database. This paper proposes an efficient fingerprint search algorithm based on database clustering, which narrows down the search space of fine matching. Fingerprint is non-uniformly partitioned by a circular tessellation to compute a multi-scale orientation field as the main search feature. The average ridge distance is employed as an auxiliary feature. A modified K-means clustering technique is proposed to partition the orientation feature space into clusters. Based on the database clustering, a hierarchical query processing is proposed to facilitate an efficient fingerprint search, which not only greatly speeds up the search process but also improves the retrieval accuracy. The experimental results show the effectiveness and superiority of the proposed fingerprint search algorithm.