A Literature Survey on Face Recognition Techniques
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 5, Issue 4
Abstract
With data and information accumulating in abundance, there is a crucial need for high security. Biometrics has now received more attention. Face biometrics, useful for a person’s authentication is a simple and non-intrusive method that recognizes face in complex multidimensional visual model and develops a computational model for it. In this paper first we present an overview of face recognition and discuss the methodology and its functioning. Thereafter we represent the most recent face recognition techniques listing their advantages and disadvantages. Some techniques specified here also improve the efficiency of face recognition under various illumination and expression condition of face images.
Authors and Affiliations
Riddhi Patel , Shruti B. Yagnik
Survey on Sparse Coded Features for Content Based Face Image Retrieval
Content based image retrieval, a technique which uses visual contents of image to search images from large scale image databases according to users' interests. This paper provides a comprehensive survey on recent technol...
Minimizing Spurious Patterns Using Association Rule Mining
Most of the clustering algorithms extract patterns which are of least interest. Such pattern consists of data items which usually belong to widely different support levels. Such data items belonging to different support...
Detecting and Localizing the Attackers in Multiple Networks
Spoofing attack which easily attack the network and reduce the performance of the network. In this Paper, Spoofing attacks are detected, Finding the number of attackers that masquerade the node identity, Localizing all t...
Early Proliferation Stage of Detecting Diabetic Retinopathy Using Bayesian Classifier Based Level Set Segmentation
This article presents Bayesian Classifier which controls the levels set segmentation and it detect the retinal clots at an early stage from the image captured from fundus camera. The classifier is a probabilistic and use...
LWRP: Low Power Consumption Weighting Replacement Policy using Buffer Memory
As the performance gap between memory and processors has increased, then it leads to the poor performance. Efficient virtual memory can overcome this problem. And the efficiency of virtual memory depends on the replaceme...