biometrics face recognition
Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
seminar presentation
Active In SP
**

Posts: 582
Joined: Apr 2010
#1
30-05-2010, 12:19 PM


this project and implimentation 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 Someone (Eg:Alfred)
Use Search at http://topicideas.net/search.php wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
Reply
rathit
Active In SP
**

Posts: 2
Joined: Oct 2010
#2
27-10-2010, 12:40 PM

Hi....
Can u send me more information on this topic to my mail id below.
rathi_meena08@yahoo.co.in
Thanks
Reply
seminar flower
Super Moderator
******

Posts: 10,120
Joined: Apr 2012
#3
22-08-2012, 03:58 PM

Face Recognition Using Biometrics


.ppt   face Recognition.ppt (Size: 1.5 MB / Downloads: 45)

Introduction to
Biometrics


Biometrics means “Life Measurement” it is any automatically measurable, robust and distinctive physical characteristic or personal trait that can be used to identify an individual or verify the claimed identity of an individual.

Characteristics of Biometrics

Universality: Each and every person throughout the world should have a biometric characteristic on the basis of which he/she could be represented, for example every person has a thumb impression which is unique with him.
Distinctiveness: Any two persons should be sufficiently different in terms of a biometric characteristic measure. Taking the above example any two persons will have different thumb impression.
Collect-ability: The biometric characteristic can be measured quantitatively with an ease. For example taking a snap of face is typically easy with a camera, where as it is difficult to take a retina sample of a person, but it is possible.
Permanence: The characteristic should be sufficiently invariant (with respect to the matching criterion) over a period of time. Taking an example of face recognition as a person grows in age his or her face changes over a time.

Faces

Faces are integral to human interaction
Manual facial recognition is already used in everyday authentication applications
ID Card systems (passports, health card, and driver’s license)
Booking stations
Surveillance operations

Facial Recognition

Facial recognition requires 2 steps:
Facial Detection
Facial Recognition
Typical Facial Recognition technology automates the recognition of faces using one of two 2 modeling approaches:
Face appearance
2D Eigen faces
3D Morph able Model
Face geometry
3D Expression Invariant Recognition

Facial Recognition: Eigenface

Decompose face images into a small set of characteristic feature images.
A new face is compared to these stored images.
A match is found if the new faces is close to one of these images.

Facial Recognition: PCA Recognition

A new image is project and implimentation into the “facespace”.
Create a vector of weights that describes this image.
The distance from the original image to this eigenface is compared.
If within certain thresholds then it is a recognized face.

Pros and Cons

2D face recognition methods are sensitive to lighting, head orientations, facial expressions and makeup.
2D images contain limited information
3D Representation of face is less susceptible to isometric deformations (expression changes).
3D approach overcomes problem of large facial orientation changes

Conclusion

Facial scan has unique advantages over other biometrics
Core technologies are highly researched
Automated facial detection and facial recognition algorithm are not yet mature
Reply

Important Note..!

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

ASK HERE

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

Quick Reply
Message
Type your reply to this message here.


Image Verification
Please enter the text contained within the image into the text box below it. This process is used to prevent automated spam bots.
Image Verification
(case insensitive)

Possibly Related Threads...
Thread Author Replies Views Last Post
  STUDY OF SPEAKER RECOGNITION SYSTEMS pdf study tips 0 406 10-09-2013, 03:37 PM
Last Post: study tips
  VOICE RECOGNITION BASED WIRELESS HOME AUTOMATION SYSTEM full report seminar ideas 3 2,927 12-07-2013, 09:28 AM
Last Post: study tips
  A LOW COST EXTENDABLE EMBEDDED SMART CAR SECURITY SYSTEM ON FACE DETECTION pdf study tips 0 432 20-06-2013, 02:02 PM
Last Post: study tips
  Contactless Gesture Recognition System Using Proximity Sensors Report study tips 0 445 01-05-2013, 04:21 PM
Last Post: study tips
  PATTERN RECOGNITION BASED DISCRIMINATIONOF ETHANOL CONCENTRATION USING ZNOTHICK-FILM study tips 0 349 05-03-2013, 02:09 PM
Last Post: study tips
  Report on Voice Recognition car with webcam study tips 0 521 27-02-2013, 09:20 AM
Last Post: study tips
  TRACKING SYSTEM BASED ON OBJECT SHAPE AND COLOR RECOGNITION REPORT study tips 0 403 15-02-2013, 03:27 PM
Last Post: study tips
  REPORT ON INVARIANT PATTERN RECOGNITION USING DTWT study tips 0 328 11-02-2013, 11:24 AM
Last Post: study tips
  Voice Recognition Robotic Car Abstract project girl 0 392 05-02-2013, 10:54 AM
Last Post: project girl
  Parking Slot Markings Recognition for Automatic Parking Assist System pdf project girl 0 354 04-02-2013, 11:32 AM
Last Post: project girl