Enhanced Thinning Based Finger Print Recognitio
نویسندگان
چکیده
This paper is the implementation of fingerprint recognition system in which the matching is done using the Minutiae points. The methodology is the extracting & applying matching procedure on the Minutiae points between the sample fingerprint & fingerprint under question. The main functional blocks of this system follows steps of Image Thinning, Image Segmentation, Minutiae (feature) point Extraction, & Minutiae point Matching. The procedure of Enhanced Thinning included for the purpose of decreasing the size of the memory space used by the fingerprint image database.
منابع مشابه
Enhanced Thinning Based Finger Print Recognition
This paper is the implementation of fingerprint recognition system in which the matching is done using the Minutiae points. The methodology is the extracting & applying matching procedure on the Minutiae points between the sample fingerprint & fingerprint under question. The main functional blocks of this system follows steps of Image Thinning, Image Segmentation, Minutiae (feature) point Extra...
متن کاملAlopecia Areata and Dermatoglyphics
Objective: To study of relationship between alopecia areata and finger print dermatoglyphic types in 100 patients with alopecia areata and in 100 controls. Methods: A case control analytical study was done on fingerprints of patients with alopecia areata. The control cases were older than 50 years old without any history of alopecia areata. Dermatoglyphical trials of total fingers were al...
متن کاملANN Classifier for Finger Knuckle Print Recognition using Gabor Feature
This paper proposes an enhanced method for personal authentication based on finger Knuckle Print using Gabor transform. In study shows that finger knuckle print (FKP) technique of a person can be used as a biometric trait in a biometric authentication system due to its uniqueness property. Hand-based person recognition provides a reliable, in low-cost and user-friendly viable solution for a ran...
متن کاملFinger Knuckle-print Identification Based on Local and Global Feature Extraction Using Sdost
Finger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms ...
متن کاملA Novel Fingerprint Verification Using Ridge Edge Detection Technique
This paper proposes a method to verify the finger print of any individual based on ridge edge detection. MATLAB is used as the programming tool. The method detects the ridge endings and bifurcations of an individual finger print. The quality of the finger print image is enhanced by preprocessing for better performance. The verification, takes into account of the relative positions and alignment...
متن کامل