Fingerprint matching combining the global orientation field with minutia

Authors:
Jin Qi;Suzhen Yang;Yangsheng Wang
Affiliations:
Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China and National Laboratory of Pattern Recognition, Institute of Automation, Ch ...;Department of Foreign Language, Chengdu Institute of Technology, Chengdu 610050, PR China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China
Venue:
Pattern Recognition Letters
Year:
2005

Citing 2
Cited 12

Automated fingerprint recognition using structural matching

Pattern Recognition
A Real-Time Matching System for Large Fingerprint Databases

IEEE Transactions on Pattern Analysis and Machine Intelligence

Fingerprint matching using OrientationCodes and PolyLines

Pattern Recognition
Nonminutiae-based decision-level fusion for fingerprint verification

EURASIP Journal on Applied Signal Processing
Fingerprint orientation field estimation using ridge projection

Pattern Recognition
Fingerprint orientation field estimation using ridge projection

Pattern Recognition
A fingerprint recognizer using interminutiae binary constraint graph

EURASIP Journal on Advances in Signal Processing
Robust Fingerprint Matching Using Spiral Partitioning Scheme

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy

IEEE Transactions on Image Processing
Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor

CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Combining features for distorted fingerprint matching

Journal of Network and Computer Applications
Combining global features and local minutiae descriptors in genetic algorithms for fingerprint matching

Proceedings of the 2010 Symposium on Information and Communication Technology
Improving the multiple alignments strategy for fingerprint verification

MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Fast fingerprint alignment method based on minutiae orientation histograms

Proceedings of the 27th Conference on Image and Vision Computing New Zealand

Quantified Score

Hi-index	0.10

Visualization

Abstract

We define a novel feature vector for each fingerprint minutia based on the global orientation field. These features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between vectors. A novel fingerprint matching algorithm is developed using both the orientation field and minutia. A series of experiments conducted on the public data collection, DB3, FVC2002, demonstrates the effectiveness of our method.