On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image enhancement and minutiae matching in fingerprint verification
Pattern Recognition Letters
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Based on Global Comprehensive Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint matching combining the global orientation field with minutia
Pattern Recognition Letters
Fingerprint matching by genetic algorithms
Pattern Recognition
Efficient fingerprint search based on database clustering
Pattern Recognition
Fingerprint matching using OrientationCodes and PolyLines
Pattern Recognition
Combining minutiae descriptors for fingerprint matching
Pattern Recognition
Fingerprint reference-point detection
EURASIP Journal on Applied Signal Processing
Consensus fingerprint matching with genetically optimised approach
Pattern Recognition
Adaptive Noisy Fingerprint Enhancement Based on Orientation Consistency
KSE '09 Proceedings of the 2009 International Conference on Knowledge and Systems Engineering
A minutia-based partial fingerprint recognition system
Pattern Recognition
Fingerprint matching based on global alignment of multiple reference minutiae
Pattern Recognition
Combining features for distorted fingerprint matching
Journal of Network and Computer Applications
A Memetic Fingerprint Matching Algorithm
IEEE Transactions on Information Forensics and Security - Part 1
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
Fingerprint recognition by combining global structure and local cues
IEEE Transactions on Image Processing
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Fingerprint matching is an important and challenging problem in fingerprint recognition. Many approaches have been proposed for fingerprint matching such as minutiae point pattern-based techniques, orientation pattern-based techniques, ridge-based techniques, global and local features combination-based techniques (GLF-BCT). In recent research, GLF-BCT methods achieved good performance even when a large portion of fingerprints in the database are of poor quality. In this paper, we would like to improve the GLF-BCT model using Genetic Algorithm (GA) that we aim to achieve higher efficiency in fingerprint recognition. In detail, the proposed model is a combination of the advantage of local minutiae descriptors (ability of increasing the distinctiveness degree between two different fingerprint images) with the advantage of the global features (identifying the optimal or near optimal global alignment between two fingerprints) to improve the reliability of GA fitness assignment in fingerprint matching. This method is called the Fingerprint Matching based on Combining Global features and Local minutiae Descriptors in Genetic Algorithms (FM-CGLD-GA). The experimental results on the FVC2004 database show the effectiveness and superiority of the proposed method in comparing to other approaches.