On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Fingerprint classification and matching using a filterbank
Fingerprint classification and matching using a filterbank
Fingerprint enhancement using STFT analysis
Pattern Recognition
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Descriptors for image-based fingerprint matchers
Expert Systems with Applications: An International Journal
Filterbank-based fingerprint matching
IEEE Transactions on Image Processing
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This paper presents an improved image-based fingerprint verification system. The proposed system enhances an input fingerprint image using a contextual filtering technique in the frequency domain, and uses the complex fillers to identify the core point. Subsequently, a region of interest (ROI) of a predefined size, which is centered around the detected core point, is extracted. The resulting ROI is rotated based on the detected core point angle to ensure rotation invariance. The proposed system extracts the absolute average deviation from the outputs of eight oriented Gabor filters that are applied to the ROI. To reduce the dimensionality of the extracted features whilst generating more discriminatory representation, this paper compares the unsupervised principal component analysis and the supervised linear discriminant analysis methods for dimensionality reduction. User-specific thresholding schemes are investigated. The effectiveness of the proposed algorithm is evaluated on the public FVC2002 set a database. Experimental results demonstrate the superiority of the introduced solution in comparison with existing approaches.