Title :
Face Recognition Using PCA and LDA Algorithm
Author :
Bansal, Abhishek ; Mehta, Kapil ; Arora, Sahil
Author_Institution :
M.Tech Comput. Sci., B.M.S.Coll. of Eng., Muktsar, India
Abstract :
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks. Recently face recognition is attracting much attention in the society of network multimedia information access. Face recognition not only makes hackers virtually impossible to steal one\´s " password" but also increases the user-friendliness in human-computer interaction. Face recognition systems are now replenishing the need for security to cope up with the present day crime. It is really convincing with the market report which clearly depicts the growing popularity of the face recognition system. The face recognition system is proving to be very efficient in the present day market. In today\´s networked world, the need to maintain the security of information or physical property is becoming both increasingly important and increasingly difficult. From time to time it has been noticed about the crimes of credit card fraud, computer hackings, or security breaches in a company or government building. Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weaknesses in today\´s safety mechanisms.
Keywords :
computer crime; face recognition; fraud; human computer interaction; multimedia computing; principal component analysis; security of data; LDA algorithm; PCA algorithm; company building; computer hackings; credit card fraud; face detection; face recognition system; facial feature detection; government building; human computer interaction; information security; linear discriminant analysis; network multimedia information access; principle component analysis; safety mechanism; user friendliness; Face; Face recognition; Facial features; Humans; Principal component analysis; Security; Vectors; Eigen values; Face recognition; Linear Discriminant Analysis; Principle Component Analysis;
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference on
Conference_Location :
Rohtak, Haryana
Print_ISBN :
978-1-4673-0471-9
DOI :
10.1109/ACCT.2012.52