Intelligent System For Face Recognition Using Soft Computing
In Our daily life Vision plays a very important role to understand the universe
in every aspect. The vision system of our body takes care of taking the information
about objects to the brain and recognizes them through the training by the neural
system. For this operation the complex design of the body does with very little effort.
This creates a advanced feedback and response method between the world and
humans. The human vision system has led inventors and engineers to build devices
which can visualize like people, analyze and do decision making. The so called
Artifical intelligence do more than a normal human do. This helped people to build
devices and machines which can make life easier and do difficult tasks easily. The
security systems in banking etc were moved from password based security to image
processing method. The human machine interface needs the human face recognition
system for operation.
For security and image processing applications the face detection is the major
block which does the main role. In biometric systems the research is focused mainly
on the detection of face from a camera image and should be recognized, In crime
investigations the process is difficult since the face to be detected and recognized is
from a camera which records a video from which the face has to be detected using
frame analyzes. The process becomes complex if the image is captured in a bad light
or worst climatic conditions. So the design of methods becomes more interesting that
verifies the presence of faces from dim or worst images.
To overcome the problems this research is focused on new methodologies which can detect and recognize faces.
Consider a system which does the pattern-recognition based on the face detection which detects the face and recognizes the face based on the feature vectors of the behavioral or physiological characteristics. The most secure way of accessing banking process is authenticated using biometrics.
Since the individual verification is done using a physical and unique biometric characteristic, the conventional passwords or PINs based accessibility frauds can be reduced on corporate computer networks and the Internet because they can be guessed or stolen. Plastic cards, smart cards or computer token cards by themselves are also not secure because they can be forged, stolen or lost, or can become corrupt or unreadable. Biometric methods for identification can be widely adapted to forensics, ATM banking, time and attendance recording, access control and many other applications.
The face recognition provides multiple benefits passively over the other
methods. But the past methods voluntary action has the disadvantages of being tough
to use as well as non adaptable for covert use as in surveillance applications. Human
operators are prone to errors during Face image audit and verification during logging
biometrics records. Good face images are easier to acquire than good fingerprints.
About 5% of people cannot provide a fingerprint for verification. The reasons may be
due to dry skin, diseased skin, old skin, cut skin, callused finger, oriental skin,
bandaged finger, narrow finger, smudged sensor on reader.
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