09-11-2012, 06:08 PM
Facial Recognition Technology: An analysis with scope in India
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INTRODUCTION
Pioneers of Automated Facial Recognition include: Woody
Bledsoe, Helen Chan Wolf, and Charles Bisson.
During 1964 and 1965, Bledsoe, along with Helen Chan
and Charles Bisson, worked on using the computer to
recognize human faces (Bledsoe 1966a, 1966b; Bledsoe and
Chan 1965). He was proud of this work, but because the
funding was provided by an unnamed intelligence agency that
did not allow much publicity, so little of the work was
published. Given a large database of images (in effect, a book
of mug shots) and a photograph, the problem was to select
from the database a small set of records such that one of the
image records matched the photograph. The success of the
method could be measured in terms of the ratio of the answer
list to the number of records in the database. Bledsoe (1966a)
described the following difficulties:
FACIAL TECHNOLOGY AT A GLANCE
, a company based in Minnesota, is one of many
developers of facial recognition technology. Its software,
FaceIt, can pick someone's face out of a crowd, extract the
face from the rest of the scene and compare it to a database of
stored images. In order for this software to work, it has to know
how to differentiate between a basic face and the rest of the
background. Facial recognition software is based on the ability
to recognize a face and then measure the various features of the
face.
Biometric Facial Recognition
The image may not always be verified or identified in facial
recognition alone. Identix® has created a new product to help
with precision. The development of FaceIt®Argus uses skin
biometrics, the uniqueness of skin texture, to yield even more
accurate results.
SCOPE IN INDIA
1. In order to prevent the frauds of ATM in India, it is
recommended to prepare the database of all ATM customers
with the banks in India & deployment of high resolution
camera and face recognition software at all ATMs. So,
whenever user will enter in ATM his photograph will be taken
to permit the access after it is being matched with stored photo
from the database.
2. Duplicate voter are being reported in India. To prevent
this, a database of all voters, of course, of all constituencies, is
recommended to be prepared. Then at the time of voting the
resolution camera and face recognition equipped of voting site
will accept a subject face 100% and generates the recognition
for voting if match is found.
3. Passport and visa verification can also be done using face
recognition technology as explained above.
4. Driving license verification can also be exercised face
recognition technology as mentioned earlier.