Knowledge acquisition and processing: new methods for
... of the membership functions (centers, widths) ? ...
... of the membership functions (centers, widths) ? ...
Fuzzy Membership, Possibility, Probability and Negation in Biometrics
... software agents with as much cointension as possible, the degree of cointension being verifiable in principle [1] through a Turing test [27]. The results of all major iris recognition experiments (such as [4], [8], [10], [13], [19], [20], [22], [24]) are in fact partial Turing tests of iris recognit ...
... software agents with as much cointension as possible, the degree of cointension being verifiable in principle [1] through a Turing test [27]. The results of all major iris recognition experiments (such as [4], [8], [10], [13], [19], [20], [22], [24]) are in fact partial Turing tests of iris recognit ...
Primary Facial Recognition Technologies
... care that biometrics cannot be applied in every situation. There are certain case in which biometrics may not be the most secure method or verification and identification. Since biometrics is a vast field, I would narrow it down to facial recognition for the purpose of this research paper. Primary F ...
... care that biometrics cannot be applied in every situation. There are certain case in which biometrics may not be the most secure method or verification and identification. Since biometrics is a vast field, I would narrow it down to facial recognition for the purpose of this research paper. Primary F ...
Simulation of Back Propagation Neural Network for Iris Flower
... http://archive.ics.uci.edu/ml/datasets/Iris). The goal of this work is to use an Artificial Neural Network to classify a specimen into its category using the above mentioned four features. This is done by using Multilayer Perceptron (MLP) feedforward network using backpropagation training algorithm. ...
... http://archive.ics.uci.edu/ml/datasets/Iris). The goal of this work is to use an Artificial Neural Network to classify a specimen into its category using the above mentioned four features. This is done by using Multilayer Perceptron (MLP) feedforward network using backpropagation training algorithm. ...
Artificial Intelligence
... http://www.booksites.net/download/negnevitsky2/student_files/matlab/0321204662_matlab.zip ...
... http://www.booksites.net/download/negnevitsky2/student_files/matlab/0321204662_matlab.zip ...
Iris recognition
Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex random patterns are unique, stable, and can be seen from some distance.Retinal scanning is a different, ocular-based biometric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally. Digital templates encoded from these patterns by mathematical and statistical algorithms allow the identification of an individual or someone pretending to be that individual. Databases of enrolled templates are searched by matcher engines at speeds measured in the millions of templates per second per (single-core) CPU, and with remarkably low false match rates.Several hundred millions of persons in several countries around the world have been enrolled in iris recognition systems for convenience purposes such as passport-free automated border-crossings, and some national ID programs. A key advantage of iris recognition, besides its speed of matching and its extreme resistance to false matches, is the stability of the iris as an internal and protected, yet externally visible organ of the eye.