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ready made ppt templates for atm security via face recognition

Posted by:
Created at: Thursday 10th of January 2013 11:10:16 AM
Last Edited Or Replied at :Friday 11th of January 2013 11:51:09 AM
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ppt for atm security fea..................[:=> Show Contents <=:]


Posted by: project report maker
Created at: Saturday 10th of July 2010 04:57:47 AM
Last Edited Or Replied at :Saturday 10th of July 2010 04:57:47 AM
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The database contains already processed normalised value.
The current normalised value is compared with the database , if found similar , the iris is recognised.


If both comparison is positive, it is authenticated and turns on the polling machine. Or else it is unauthenticated.

Software required: MATLAB

MATLAB is a high-performance language for technical computing. ..................[:=> Show Contents <=:]

biometrics face recognition

Posted by: seminar presentation
Created at: Sunday 30th of May 2010 01:49:03 AM
Last Edited Or Replied at :Wednesday 27th of October 2010 02:10:39 AM
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e name (Eg:Alfred: Aleready feeded photo), or can possible to say this photo matches 78% with Someone (Eg:Alfred)..................[:=> Show Contents <=:]

how face recognition system works

Posted by: sravs25
Created at: Tuesday 23rd of February 2010 09:45:31 PM
Last Edited Or Replied at :Wednesday 24th of February 2010 05:28:28 AM
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i am preparing seminars repor..................[:=> Show Contents <=:]

face recognition technology seminar report

Posted by: applied electronics
Created at: Tuesday 29th of December 2009 04:02:48 AM
Last Edited Or Replied at :Monday 14th of January 2013 01:37:06 AM
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Visionics, company based in a New Jersey is one of the many developers of facial recognition technology. The twist to its particular software, Face it is that it can pick someone's face from the rest of the scene and compare it to a database full of stored images. In order for this software to work, it has to know what a basic face looks like. Facial recognition software is based on the ability to first recognize faces, which is a technological feat in itself and then measure the various features of each face.

If you look at the mirror, you can see that your face has cer..................[:=> Show Contents <=:]

3D Face Recognition

Posted by: electronics seminars
Created at: Monday 30th of November 2009 03:38:04 AM
Last Edited Or Replied at :Monday 03rd of January 2011 11:16:25 PM
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rmance of face recognition systems that use two-dimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. A multi-view face recognition system is being developed, which utilizes three-dimensional (3D) information about the face, along with the facial texture, to make the system more robust to those variations. A procedure is presented for constructing a database of 3D face models and matching this database to 2.5D face scans which are captured from different views. 2.5D is a simplified 3D (x, y, z) surface representation that contains at most o..................[:=> Show Contents <=:]

Face Recognition Using Artificial Neural Networks

Posted by: nit_cal
Created at: Saturday 31st of October 2009 04:58:30 AM
Last Edited Or Replied at :Saturday 20th of April 2013 12:55:41 AM
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individually reveal little of the total pattern, yet collectively represent easily recognizable objects. The concepts of Neural Networks have been motivated right from its inception, by the recognition that the human brain computes in an entirely different way from the conventional digital computers. The brain modeling techniques opens a new era of Computer System that learns, from experience and uses its experiential knowledge next time. This biologically inspired method is being touted as the wave of the future in computing, relieving the programmer from the cubicle of traditional algorithmi..................[:=> Show Contents <=:]


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 10:46:16 PM
Last Edited Or Replied at :Monday 14th of January 2013 01:37:23 AM
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he camera. Light does not impact the normalization process.
8.4 Representation
The system translates the facial data into a unique code. This coding process allows for easier comparison of the newly acquired facial data to stored facial data.
8.5 Matching
The newly acquired facial data is compared to the stored data and (ideally) linked to at least one stored facial representation. The heart of the FaceIt facial recognition system is the Local Feature Analysis (LFA) algorithm. This is the mathematical technique the system uses to encode faces. The system maps the face and creates a fa..................[:=> Show Contents <=:]

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