Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
Post: #1

A method for rapid visual recognition of personal identity is described, based on the failure of statistical test of independence. The most unique phenotypic feature visible in a person?s face is the detailed texture of each eye?s iris: an estimate of its statistical complexity in a sample of the human population reveals variation corresponding to several hundred independent degrees-of-freedom. Morphogenetic randomness in the texture expressed phenotypically in the iris trabeclar meshwork ensures that a test of statistical independence on two coded patterns organizing from different eyes is passed almost certainly, whereas the same test is failed almost certainly when the compared codes originate from the same eye. The visible texture of a person?s iris in a real time video image is encoded into a compact sequence of multi-scale quadrature 2-D Gabor wavelet coefficients, whose most significant bits comprise a 512 ? byte ?IRIS?CODE? statistical decision theory generates identification decisions from Exclusive-OR comparisons of complete iris code at the rate of 4,000 per second, including calculation of decision confidence levels. The distributions observed empirically in such comparisons imply a theoretical ?cross-over? error rate of one in 1,31,000 when a decision criterion is adopted that would equalize the False Accept and False Reject error rates.
Reliable automatic recognition of persons has long been an attractive goal. As in all pattern recognition problems, the key issue is the relation between interclass and intra-class variability: objects can be reliably classified only if the variability among different instances of a given class is less than the variability between different classes. Iris patterns become interesting as an alternative approach to reliable visual recognition of persons when imaging can be done at distances of less than a meter, and especially when there is a need to search very large databases without incurring any false matches despite a huge number of possibilities. The iris has the great mathematical advantage that its pattern variability among different persons is enormous. In addition, as an internal (yet externally visible) organ of the eye, the iris is well protected from the environment and stable over time. As a planar object its image is relatively insensitive to angle of illumination, and changes in viewing angle cause only affine transformations; even the non-affine pattern distortion caused by pupillary dilation is readily reversible. Finally, the ease of localizing eyes in faces, and the distinctive annular shape of the iris, facilitates reliable and precise isolation of this feature and the creation of a size-invariant representation.
Algorithms developed by Dr. John Daugman at Cambridge are today the basis for all iris recognition systems worldwide

Biometrics, the use of a physiological or behavioral aspect of the human body for authentication or identification, is a rapidly growing industry . Biometric solutions are used successfully in fields as varied as e-commerce, network access, time and attendance, ATM?s, corrections, banking, and medical record access. Biometrics? ease of use, accuracy, reliability, and flexibility are quickly establishing them as the premier authentication technology.Efforts to devise reliable mechanical means for biometric personal identification have a long and colourful history. In the Victorian era for example, inspired by birth of criminology and a desire to identify prisoners and malefactors, Sir Francis Galton F.R.S proposed various biometric indices for facial profiles which he represented numerically. Seeking to improve on the system of French physician Alphonse Bertillon for classifying convicts into one of 81 categories, Galton devised.

Important Note..!

If you are not satisfied with above reply ,..Please


So that we will collect data for you and will made reply to the request....OR try below "QUICK REPLY" box to add a reply to this page
Popular Searches: iris scan app, iris scan in mexico, free download of ppt presentation on iris scan, iris scan heathrow airport, iris scan at airports, iris scan calibration sheet, iris scan seminar abstract,

Quick Reply
Type your reply to this message here.

Image Verification
Image Verification
(case insensitive)
Please enter the text within the image on the left in to the text box below. This process is used to prevent automated posts.

Possibly Related Threads...
Thread: Author Replies: Views: Last Post
  iris scanning seminar report electronics seminars 7 9,349 17-12-2012 11:36 AM
Last Post: seminar details
  Biometrics and Finger scan computer science crazy 4 2,853 03-12-2012 02:36 PM
Last Post: seminar details
  Embedded system for biometric identification based on iris detection computer girl 0 667 11-06-2012 10:29 AM
Last Post: computer girl
  Iris scanning in voting system seminar class 0 1,072 16-03-2011 11:23 AM
Last Post: seminar class
Last Post: project report helper
  An Efficient Algorithm for iris pattern computer science crazy 4 1,799 03-08-2010 11:40 AM
Last Post: sanketmpatel
Music An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Computer Science Clay 0 1,642 01-03-2009 01:54 PM
Last Post: Computer Science Clay
Information IRIS SCAN seminar projects crazy 0 1,120 31-01-2009 11:19 AM
Last Post: seminar projects crazy