Automatic Fingerprint Identification System Using Robust Distance
نویسندگان
چکیده
منابع مشابه
Robust Fingerprint Identification System Using Backpropagation and ART Neural Networks
This paper describes a robust minutiae-based fingerprint identification method suitable for use in small populations. System employs two serially connected neural networks in which fingerprint feature extraction is carried out by the first network – a backpropagation neural network and matching by the second an adaptive resonance theory network which performs the decision making task of matchin...
متن کاملAn Automatic Fingerprint Identification System using multiple classifiers
Biometric applications have been wildly used nowadays. A fingerprint identification system is the most popular system due to the affordable price of a fingerprint scanner. An automatic fingerprint identification system (AFIS) using multiple classifiers is presented in this paper. The system consists of several steps: f ingerprint enhancement, minutiae extraction, texture feature extraction, tex...
متن کاملA hybrid system for automatic fingerprint identification
A hybrid fingerprint identification system is presented in this paper. The system consists of several steps: fingerprint enhancement, minutiae extraction, texture feature extraction, fast texture matching, and minutiae matching. The enhancement algorithm consists of several steps: local ridge orientation estimation, filter design, enhancement, intensity stretching, binarization, thinning, minut...
متن کاملAn Automatic Fingerprint Classification Algorithm
Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...
متن کاملAn Automatic Fingerprint Classification Algorithm
Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...
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: TANMIYAT AL-RAFIDAIN
سال: 2006
ISSN: 2664-276X
DOI: 10.33899/tanra.2006.161638