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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 features
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BIOMETRIC FACE AND IRIS AUTHENTICATION


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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.
Hence we going to DCT.
Two Dimensional DCT
Example
After subtracting,


STEP 4: PRINCIPAL COMPONENT ANALYSIS(PCA)



Principle
Linear projection method to reduce the number of parameters
Transfer a set of correlated variables into a new set of uncorrelated variables
Map the data into a space of lower dimensionality
Form of unsupervised learning

Properties
It can be viewed as a rotation of the existing axes to new positions in the space defined by original variables
New axes are orthogonal and represent the directions with maximum variability

STEP..................[:=> 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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ect is for making a Biometrics - Face Detection , here we Use any standard web camera and try to recognize the face of the person with the detection software in general This can be done by a image acquisition software like (NI labVIEW ), as it has image acquisition tools..
and we Do a general pattern matching detect a face and be able to detect the difference between faces break down the regions of the face and pattern match those regions.and lastly can possible to say this face is belongs some one name (Eg:Alfred: Aleready feeded photo), or can possible to say this photo matches 78% with ..................[:=> 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 report on ho..................[:=> 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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The system can match multiple faceprints at a rate of 60 million per minute from memory or 15 million per minute from hard disk. As comparisons are made, the system assigns a value to the comparison using a scale of one to 10. If a score is above a predetermined threshold, a match is declared. The operator then views the two photos that have been declared a match to be certain that the computer is accurate.

ADVANTAGES AND DISADVANTAGES

Advantages:

1. There are many benefits to face recognition systems such as its convinence and social acceptability. All you need is your pic..................[:=> 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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ng the templates with synthesized deformations. By fitting this generative deformable model to a test scan, the proposed approach is able to handle expressions and large pose changes simultaneously


read mo..................[:=> 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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d, image processing

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FACE RECOGNITION TECHNOLOGY A SEMINAR REPORT


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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ividuals in the database and gives a ranked list of matches. All identification or authentication technologies operate using the following four stages:
a. Capture: A physical or behavioural sample is captured by the system during
Enrollment and also in identification or verification process
b. Extraction: unique data is extracted from the sample and a template is created.
c. Comparison: the template is then compared with a new sample.
d. Match/non match: the system decides if the features extracted from the new
Samples are a match or a non match Face recognition technology analyz..................[:=> Show Contents <=:]



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