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



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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A - lI)X = 0
This is a homogeneous system of equations, and from fundamental linear algebra, we know that a solution exists if and only if
det (A -leigenval I) = 0
Using PCA in the Face Recognition (FR) (1)
STEP 5: LMS ALGORITHM
It calculates the difference between eigen vectors for the face.
(Eigen vector1-Eigen vector2)^2
If o/p =0 : authenticated
If o/p != 0 : unauthenticated
FACE RECOGNITION
IRIS RECOGNITION:
STEPS IN IRIS RECOGNITION:
STEP1: INPUT IMAGE




STEP 2: GAUSSIAN NOISE

Noise by definition is just unwanted sound.
It is ad..................[:=> 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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s 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 Someo..................[:=> 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 facial recognition syste..................[:=> 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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h for faces in low resolution. (An algorithm is a program that provides a set of instructions to accomplish a specific task). The system switches to a high-resolution search only after a head-like shape is detected.

Alignment
Once a face is detected, the system determines the head's position, size and pose. A face needs to be turned at least 35 degrees toward the camera for the system to register it.

Normalization
The image of the head is scaled and rotated so that it can be registered and mapped into an appropriate size and pose. Normalization is performed regardless of the head..................[:=> 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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esented 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 a neutral expression 3D face 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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de simulation of the structure of human brain electronically or in software. The inherent properties of human brain enable it to analyze complex patterns consisting of a number of elements, those 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..................[:=> 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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ual or verify an individualâ„¢s identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from direct measurement of a part of the human body) include:
a. Finger-scan
b. Facial Recognition
c. Iris-scan
d. Retina-scan
e. Hand-scan
Behavioral biometrics (based on measurements and data derived from an action) include:
a. Voice-scan
b. Signature-scan
c. Keystroke-scan
A biometric system refers to the integrated hardware and software used to conduct biometric
identification or ver..................[:=> Show Contents <=:]



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