A Technique to Improve Ridge Flows of Fingerprint Orientation Fields Estimation
نویسندگان
چکیده
منابع مشابه
Fingerprint Ridge Orientation Modeling
In the last decade, automatic fingerprint based personal authentication has matured to the point where it can be successfully applied in a myriad of applications. These applications are ranging from the low cost door opener for private use up to the critical government application ensuring national security. One common ground of all this fingerprint based personal authentication systems is the ...
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This paper proposes a statistical model for fingerprint ridge orientations. The active fingerprint ridge orientation model (AFROM) iteratively deforms to fit the orientation field (OF) of a fingerprint. The OFs are constrained by the AFROM to vary only in ways according to a training set. The main application of the method is the OF estimation in noisy fingerprints as well as the interpolation ...
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Fingerprint verification is an important bio-metric technique for personal identification. Most of the automatic verification systems are based on matching of fingerprint minutiae. Extraction of minutiae is an essential process which requires estimation of orientation of the lines in an image. Most of the existing methods involve intense mathematical computations and hence are performed through...
متن کاملFingerprint Ridge Orientation Estimation Based on Neural Network
Ridge orientation is one of the fundamental features of a fingerprint image. Orientation estimation serves for feature extraction and matching and is the base of fingerprint recognition. Most existing orientation estimation methods are based on the characteristic of pixel intensity in a block. This paper uses neural network to learn the ridge orientation. The trained network has the property of...
متن کاملRidge Orientation Estimation and Verification Algorithm for Fingerprint Enhancement
Fingerprint image enhancement is a common and critical step in fingerprint recognition systems. To enhance the images, most of the existing enhancement algorithms use filtering techniques that can be categorized into isotropic and anisotropic according to the filter kernel. Isotropic filtering can properly preserve features on the input images but can hardly improve the quality of the images. O...
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ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2016
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v14i2.3112