Finger print Feature Extraction Using Hybrid Approach: QPSO and Bees Algorithms Based on 3D Logistic Map
نویسندگان
چکیده
منابع مشابه
Finger 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 کاملFeature Vector Extraction based Texture Feature using Hybrid Wavelet Type I & II for Finger Knuckle Prints
The finger knuckle print (FKP) of a particular person is found to be unique and can serve as a biometric feature has been revealed recently by the researchers. In this paper finger knuckle print will be used as a biometric feature. The databaseImages from Hong KongPolytechnic Universitywere processed using Kekre’s hybrid wavelet type 1 and type 2 for the generation of results. Kekre’s hybrid wa...
متن کاملHybrid Message-Embedded Cipher Using Logistic Map
The proposed hybrid message embedded scheme consists of hill cipher combined with message embedded chaotic scheme. Message-embedded scheme using non-linear feedback shift register as non-linear function and 1-D logistic map as chaotic map is modified, analyzed and tested for avalanche property and strength against known plaintext attack and brute-force attack. Parameter of logistic map acts as ...
متن کاملRandomized Eecient Algorithms for Compressed Strings: the Finger-print Approach
Denote by LZ(w) the coded form of a string w produced by Lempel-Ziv encoding algorithm. We consider several classical algo-rithmic problems for texts in the compressed setting. The rst of them is the equality-testing: given LZ(w) and integers i; j; k test the equality: wi: : : i + k] = wj : : : j + k]. We give a simple and eecient randomized algorithm for this problem using the nger-printing id...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Al-Qadisiyah for computer science and mathematics
سال: 2017
ISSN: 2521-3504,2074-0204
DOI: 10.29304/jqcm.2017.9.2.314