Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Improved phase-only correlation method for low quality fingerprint matching
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Coarse fingerprint registration using orientation fields
EURASIP Journal on Applied Signal Processing
A Novel Multi-reference Points Fingerprint Matching Method
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
High resolution partial fingerprint alignment using pore-valley descriptors
Pattern Recognition
Fingerprint matching based on global alignment of multiple reference minutiae
Pattern Recognition
Fingerprint verification using correlation filters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A novel fingerprint matching method by excluding elastic distortion
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
A novel fingerprint algorithm based on line-segment chain
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Fingerprint verification with non-linear composite correlation filters
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
A novel verification criterion for distortion-free fingerprints
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Incorporating image quality in multi-algorithm fingerprint verification
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
An adaptive fingerprint post-processing algorithm based on mathematical morphology
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
A hierarchical fingerprint matching method based on rotation invariant features
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Biometrics-based consumer applications driven by reconfigurable hardware architectures
Future Generation Computer Systems
Correlation-based fingerprint matching with orientation field alignment
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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We present a novel fingerprint alignment and matching scheme that utilizes ridge feature maps to represent, align and match fingerprint images. The technique described here obviates the need for extracting minutiae points or the core point to either align or match fingerprint images. The proposed scheme examines the ridge strength (in local neighborhoods of the fingerprint image) at various orientations, using a set of 8 Gabor filters, whose spatial frequencies correspond to the average inter-ridge spacing in fingerprints. A standard deviation map corresponding to the variation in local pixel intensities in each of the 8 filtered images, is generated. The standard deviation map is sampled at regular intervals in both the horizontal and vertical directions, to construct the ridge feature map. The ridge feature map provides a compact fixed-length representation for a fingerprint image. When a query print is presented to the system, the standard deviation map of the query image and the ridge feature map of the template are correlated, in order to determine the translation offsets necessary to align them. Based on the translation offsets, a matching score is generated by computing the Euclidean distance between the aligned feature maps. Feature extraction and matching takes ~ 1 second in a Pentium III, 800 MHz processor. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of a fingerprint matching system.