A Face Detection and Recognition System based on Rectangular Feature Orientation



INTRODUCTION
In 2001 Viola and Jones proposed a machine
learning approach for face detection which is capable of
processing images extremely rapidly and achieving high
detection rates. There are three main features of the Viola
and Jones face detection approach: (a) the use integral
image that allows for very fast feature evaluation, (b) they
construct a classifier by selecting a small number of
important f ....etc

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Principle Component Analysis PCA is a classical feature extraction and data representation technique
widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has
drawback of high computational especially for big size database. This paper conducts a study to optimize
the time complexity of PCA (eigenfaces) that does not affects the recognition performance. The authors
minimize the participated eigenvectors which consequently decreases the computational time. A
comparison is done to compare ....etc

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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....etc

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Today, Internet rules the world. The Internet is used to access the complete facility of transferring the information, besides maintaining the secrecy of the document. Since the network is considered to be insecure, the encryption and authentication are used to protect the data while it is being transmitted. The security is insufficient when the codes for encryption and decryption are revealed. There comes the necessity of increasing the security through face recognition using neural network. Though it is costlier, it provides the high advantag ....etc

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I want intrusion detection using face recognition and GSM synopsis ....etc

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i need matlab code for digital video watermarking using dwt and pca ....etc

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Plz, help me with the PCA code for doing image fusion. i need the program with an example. i tried for cameraman image but getting the output as complete black. i blurred it at two different places so i hav i1 n i2 which are blurred images which i converted to zero mean images i_1 n i_2.This is my program. what to do next?

clc;
close all;
clear all;
f1=imread('cameraman.tif');
figure(1);
imshow(f1);
=size(f1);
f1=im2double(f1);
level=input('enter the level of blur');
degradation=fspecial('average',);
i1=f1;
....etc

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To get full information or details of face recognition using pca please have a look on the pages

http://seminarsprojects.net/Thread-Human-Face-Recognition-Using-PCA-on-Wavelet-Subband

http://seminarsprojects.net/Thread-Face-Recognition-using-Principal-Component-Analysis--44427

http://seminarsprojects.net/Thread-FACE-RECOGNITION-USING-PRINCIPAL-COMPONENT-ANALYSIS?pid=90032

if you again feel trouble on face recognition using pca please reply in that page and ask specific fields in face recognition using pca ....etc

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to get information about the topic face recognition technology full report ppt, and related topics refer the page link bellow

http://seminarsprojects.net/Thread-face-recognition-technology-a-seminars-report

http://seminarsprojects.net/Thread-face-recognition-technology-a-seminars-report?page=4

http://seminarsprojects.net/Thread-seminars-report-on-face-recognition-technology

http://seminarsprojects.net/Thread-FACE-RECOGNITION-TECHNOLOGY-SEMINAR-REPORT--28533

http://seminarsprojects.net/Thread-face-recognition-technology--27390

http://semin ....etc

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A NOVEL REPLICA DETECTION SYSTEM USING
BINARY CLASSIFIERS, R-TREES, AND PCA



ABSTRACT

Replica detection is a prerequisite for the discovery of copyright infringement
and detection of illicit content. For this purpose, contentbased
systems can be an efficient alternative to watermarking. Rather
than imperceptibly embedding a signal, content-based systems rely
on image similarity. Certain content-based systems use adaptive
classifiers to detect replicas. In such systems, a suspect image is
tested agai ....etc

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