The biometric is a study of human behavior and features. Face recognition is a technique of biometric. Various approaches are used for it. Face recognition is emerging branch of biometric for security as no faces can be defeated as a security approac
face recognition system using matlabFull description
Face recognition methodFull description
Face is a important part through which we can identify who we are and how people identify us. Face is a persons most valuable and unique physical characteristics through which we can identify someone very easily. While humans have the innate ability
Face recognition across age progression is remains one of the areas most challenging tasks now a days, as the aging process affects both the shape and texture of a face. One possible solution is to apply a probabilistic model to represent a face simu
This project is Profile identification through facial recognition system using machine learning, based on K neighbors algorithm. The K neighbours algorithm has high detection rate and fast processing time. Once the face is detected, feature extractio
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Document which contains the project details of Attendance System using Artifical Intelligence.
Project Synopsis on efficient Face Recognition AlgorithmFull description
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This paper presents the intelligent door control system based on face detection and recognition. This system can avoid the need to control by persons with the use of keys, security cards, password or pattern to open the door. The main objective is to
Here we consider human face as biometric. Original method of feature extraction from image data is introduced using feed forward Neural Network multilayer perceptron and PCA principal component analysis . This method is used in human face recognition
In every college there will be a huge number of students who uses the facility of library to access or to refer different varieties of books to gain knowledge about subjects. Every Library maintains a register to maintain the data about members who e
Fingerprint is a unique pattern composed of ridges and furrows on the surface of human finger. This fingerprint can be used For providing biometric security and to identify criminal. Biometric fingerprint can replace old password and token authentica
ABSTRACT FACE RECOGNITION TECHNOLOGY At one of the most most succes successfu sfull applic applicati ation on of images images analysi analysiss and unders understan tandin ding, g, face face recognition has recently received significant attention, especially during the past few years. Facial recognition recognition technology (FRT) (FRT) has emerged as an attractive attractive solution solution to address many contemp contempora orary ry needs needs for identi identific ficati ation on and the verific verificati ation on of identi identity ty claims claims.. It brings brings together the promise of other biometric systems, which attempt to tie identity to individually distinctive features of the body, and the more familiar functionality of visual surveillance systems. This report develops a sociopolitical analysis that bridges the technical and social scientific literatures on FRT and addresses the uni!ue challenges and concerns that attend its development, evaluation, and specific operational uses, conte"ts, and goals. It highlights the potential and limitations of the technology, noting those tas#s for which it seems ready for deploy deployme ment nt,, thos thosee area areass wher wheree perf perfor orma mance nce obst obstacl acles es may may be over overco come me by futu future re technological technological developments developments or sound operating procedures, procedures, and still still other issues which appear appear intract intractabl able. e. Its concer concern n with with effi efficacy cacy e"tends e"tends to ethica ethicall consid considera eratio tions. ns. Face Face recognition technology may solve this problem since a face is undeniably connected to its owner owner e"pect e"pect in the case case of identi identical cal twins. twins. It$s It$s nontrans nontransfer ferabl able. e. The system system can then then compare scans to records stored in a central or local database or even on a smart card. Keywords: Face , FRT
