Logical Templates for Feature Extraction in Fingerprint Images
نویسندگان
چکیده
We present a novel approach for extraction of minutiae features from fingerprint images. The proposed approach is based on the use of logical templates for minutiae extraction in the presence of data distortion. A logical template is an expression that is applied to the binary ridge (valley) image at selected potential locations to detect the presence of minutia at these locations. It is adapted to local ridge orientation and frequency. We discuss the proposed technique in detail, and present experimental results on low-resolution images of various qualities.
منابع مشابه
Data Compression of Fingerprint Minutiae
Biometric techniques have usual advantages over conventional personal identification technique. Among various commercially available biometric techniques such as face, fingerprint, Iris etc., fingerprint-based techniques are the most accepted recognition system. Fingerprints are trace or impression of patterns created by friction ridges of the skin in the fingers and thumbs. Steganography usual...
متن کاملStandard Fingerprint Databases: Manual Minutiae Labeling and Matcher Performance Analyses
Fingerprint verification and identification algorithms based on minutiae features are used in many biometric systems today (e.g., governmental e-ID programs, border control, AFIS, personal authentication for portable devices). Researchers in industry/academia are now able to utilize many publicly available fingerprint databases (e.g., Fingerprint Verification Competition (FVC) & NIST databases)...
متن کاملA Hybrid Fingerprint Matcher
Most fingerprint matching systems rely on the distribution of minutiae on the fingertip to represent and match fingerprints. While the ridge flow pattern is generally used for classifying fingerprints, it is seldom used for matching. This paper describes a hybrid fingerprint matching scheme that uses both minutiae and ridge flow information to represent and match fingerprints. A set of 8 Gabor ...
متن کاملA Comparison of Feature Normalization Techniques for Pca-based Palmprint Recognition
Computing user templates (or models) for biometric authentication systems is one of the most crucial steps towards efficient and accurate biometric recognition. The constructed templates should encode user specific information extracted from a sample of a given biometric modality, such as, for example, palmprints, and exhibit a sufficient level of dissimilarity with other templates stored in th...
متن کاملEnhancement of feature extraction for low-quality fingerprint images using stochastic resonance
0167-8655/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.patrec.2010.09.008 ⇑ Corresponding author. Tel.: +1 215 204 7932; fax E-mail addresses: [email protected] (C. Ry Kong), [email protected] (H. Kim). 1 Tel.: +1 215 204 3160; fax: +1 215 204 5960. 2 Tel.: +82 32 860 7385; fax: +82 32 873 8970. This paper presents a new approach to enhancing feature extraction for low-quality fingerp...
متن کامل