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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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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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sis
PCA, commonly referred to as the use of Eigen faces.
PCA approach is used to reduce the dimension of the data and removes the information that is not useful.
Thus revealing the most effective low dimensional features of facial patterns.
PCA algorithm is optimal in the sense of efficiency.



FACE RECOGNITION

Flow Diagram:
Input Image
rgb to gray

DCT
PCA
LMS
STEP1: INPUT IMAGE
STEP 2: RGB TO GRAY


STEP 3: DISCRETE COSINE TRANSFORM (DCT)

Computers store images as an NxN matrix of values that represent..................[:=> 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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ble to say this face is belongs some one 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 report on how f..................[:=> 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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TION SYSTEMS WORK -An example
8. THE SOFTWARE
9. ADVANTAGES AND DISADVANTAGES
10. APPLICATIONS
11. CONCLUSION
12. REFERENCES




ACKNOWLEDGEMENT

I extend my sincere gratitude towards Prof . P.Sukumaran Head of Department for giving us his invaluable knowledge and wonderful technical guidance

I express my thanks to Mr. Muhammed kutty our group tutor and also to our staff advisor Ms. Biji Paul for their kind co-operation and guidance for preparing and presenting this seminars.

I also thank all the other faculty members of AEI department and my friends for their help and s..................[:=> 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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e 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 one depth value (z direction) for every point in the (x, y) plane. A robust similarity metric is defined for matching. To address the non-rigid facial movement, such as expressions, we present a facial surface modeling and matching scheme to match 2.5D test scans in the presence of both non-rigid deformations and large pose changes (multiview) to ..................[:=> 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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n computing, relieving the programmer from the cubicle of traditional algorithmic problem solving. Inherent non-linearity property of Neural Networks makes it particularly suitable in many signal-processing applications like sound, image processing

..................[:=> Show Contents <=:]



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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mage of the person's face. In the enrollment module the obtained sample is preprocessed and analyzed. This analyzed data is stored in the database for the purpose of future comparison. The database compresses the obtained sample and stores it. It should have retrival property also that is it compares all the stored sample with the newly obtained sample and retrives the matched sample for the purpose of verification by the user and determine whether the match declared is right or wrong. The verification module also consists of a preprocessing system. Verification means the system check..................[:=> Show Contents <=:]



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