Segmentation of fingerprint images using the directional image
Pattern Recognition
Algorithms for clustering data
Algorithms for clustering data
Segmentation of fingerprint images—a composite method
Pattern Recognition
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Segmentation Algorithm for Low Quality Fingerprint Image
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
A Neural Network Fingerprint Segmentation Method
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
Two steps for fingerprint segmentation
Image and Vision Computing
Segmentation of fingerprint images using linear classifier
EURASIP Journal on Applied Signal Processing
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
A Thin-Plate Spline Calibration Model For Fingerprint Sensor Interoperability
IEEE Transactions on Knowledge and Data Engineering
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Performance analysis for multi sensor fingerprint recognition system
ICISS'07 Proceedings of the 3rd international conference on Information systems security
Fingerprint image segmentation based on quadric surface model
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint image segmentation by energy of gaussian-hermite moments
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Robust point-based feature fingerprint segmentation algorithm
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Unsupervised fingerprint segmentation based on multiscale directional information
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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A critical step in an automatic fingerprint recognition system is the segmentation of fingerprint images. Existing methods are usually designed to segment fingerprint images originated from a certain sensor. Thus their performances are significantly affected when dealing with fingerprints collected by different sensors. This work studies the sensor interoperability of fingerprint segmentation algorithms, which refers to the algorithm's ability to adapt to the raw fingerprints obtained from different sensors. We empirically analyze the sensor interoperability problem, and effectively address the issue by proposing a k-means based segmentation method called SKI. SKI clusters foreground and background blocks of a fingerprint image based on the k-means algorithm, where a fingerprint block is represented by a 3-dimensional feature vector consisting of block-wise coherence, mean, and variance (abbreviated as CMV). SKI also employs morphological postprocessing to achieve favorable segmentation results. We perform SKI on each fingerprint to ensure sensor interoperability. The interoperability and robustness of ourmethod are validated by experiments performed on a number of fingerprint databases which are obtained from various sensors.