Robust Face Recognition Using Artificial Neural Network

Abstract

Face recognition is done naturally by humans. However, developing a computer algorithm to do the same thing is difficult. Assume for the moment we start with images, and we want to distinguish between images of different people. One class of methods presupposes the existence of certain features in the image, i.e. eyes, nose, mouth, hair, and an algorithm is devised to find and characterize these features. FACE recognition is an important research problem spanning numerous fields and disciplines. This because face recognition, in additional to having numerous practical applications such as bankcard identification, access control, Mug shots searching, security monitoring, and surveillance system, is a fundamental human behavior that is essential for effective communications and interactions among people.

Authors and Affiliations

Priyanka Patidar , Sameeksha Barve

Keywords

Related Articles

State Of The Art : Security In Wireless Body Area Networks

Advances in wireless communication technologies and sensors have scepter development of Wireless Body Area Network (WBAN). The wireless nature of network and sort of sensors provide various new, sensible and innovative a...

Rendezvous Planning of Data Collection in Wireless Sensor Networks

In today’s world people interact with the network and collects data from network with the help of handheld devices. Here we propose a novel approach for the mobile users to collect data network wide. Most of the traditio...

Modified 4-Bit Comparator Using Sleep Technique

The development of digital integrated circuits is challenged by higher power consumption. So low power circuits have become a top priority in modern VLSI design. This paper presents layout simulations of a new improved f...

A COMPARATIVE STUDY OF CLOUDS IN CLOUD COMPUTING

Cloud computing has now become one of the rapidly growing technologies in computer science. Cloud Computing makes its greatest impact on the IT ecosystem. It refers to the delivery of services like hardware, software, st...

An Ontology Framework For Context-Based Multilingual Document Retrieval

This paper aims to present a multilingual ontology model for retrieving documents. This technique is based on context based multilingual translation. Though English is a common language in the world, at times there are s...

Download PDF file
  • EP ID EP130140
  • DOI -
  • Views 112
  • Downloads 0

How To Cite

Priyanka Patidar, Sameeksha Barve (2012). Robust Face Recognition Using Artificial Neural Network. International Journal of Computer Science & Engineering Technology, 3(4), 76-81. https://europub.co.uk/articles/-A-130140