Face And Ear Composite Recognition Tool


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My Final year project :) It was used to compare two faces and ears. Used matlab for it.

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Face And Ear Composite Recognition Tool

  1. 1. Face and Ear Composite Recognition Tool Abhineet Bhamra (0131322804) Ashish Goel (0181322804) Jaideep Singh (0161322804) Karan Gogna (0361322804)
  2. 2. Contents <ul><li>Project Goals </li></ul><ul><li>Introduction to Biometrics </li></ul><ul><li>Face Biometrics </li></ul><ul><li>Ear Biometrics </li></ul><ul><li>Advantages of Ear Biometrics </li></ul><ul><li>Implementation </li></ul><ul><li>Work completed </li></ul><ul><li>Work to be done </li></ul><ul><li>References </li></ul>
  3. 3. Project Goals <ul><li>To use both face and ear recognition techniques in a single tool for enhanced security and flexibility </li></ul><ul><li>Compare the performance of both biometrics </li></ul><ul><li>Identify common sources of errors for both techniques </li></ul>
  4. 4. Introduction to Biometrics <ul><li>Definition : Automatic identification of a living person based on physiological or behavio u ral characteristics . </li></ul><ul><li>Behavioral </li></ul><ul><ul><li>Voice </li></ul></ul><ul><ul><li>Signature </li></ul></ul><ul><ul><li>Keystrokes </li></ul></ul><ul><li>Physiological </li></ul><ul><ul><li>Fingerprints </li></ul></ul><ul><ul><li>Hand Geometry </li></ul></ul><ul><ul><li>Iris </li></ul></ul><ul><ul><li>Face </li></ul></ul><ul><ul><li>Ear </li></ul></ul>
  5. 5. Face Biometrics <ul><li>Passive physiological method </li></ul><ul><li>Natural method – humans recognize people by looking at their faces </li></ul><ul><li>Fast development of new algorithms </li></ul><ul><li>Still many unsolved problems including compensation of illumination changes and pose invariance </li></ul>
  6. 6. Ear Biometrics <ul><li>Human ears have been used as major feature in the forensic science for many years </li></ul><ul><li>Human ear contains large amount of specific and unique features that allows for human identification </li></ul><ul><li>Ear images can be easily taken from a distance and without knowledge of the examined person </li></ul><ul><li>Suitable for security, surveillance, access control and monitoring applications </li></ul>
  7. 7. Advantages of Ear Biometrics <ul><li>Ear does not change during human life, and face changes more significantly with age than any other part of human body </li></ul><ul><li>Colour distribution is more uniform in ear than in human face, iris or retina </li></ul><ul><ul><li>Not much information is lost while working with the greyscale or binarized images </li></ul></ul><ul><li>Ear is also smaller than face , which means that it is possible to work faster and more efficiently with the images with the lower resolution </li></ul><ul><li>Ear images cannot be disturbed by glasses, beard nor make-up. However, occlusion by hair or earrings is possible </li></ul>
  8. 8. Implementation <ul><li>Acquiring an image of the subject from scanner/digital camera/video recording </li></ul><ul><li>Detect the location of any face or ear in the image </li></ul><ul><li>Analysis of the spatial geometry of distinguishing features of face/ear and generate a template </li></ul><ul><li>Compare the template with those in the database of known faces/ears </li></ul><ul><li>Declare match or mismatch depending on the similarity and security configuration </li></ul>
  9. 9. Work completed <ul><li>Feature extraction and building a database using PCA – eigenfaces and eigenears approach </li></ul><ul><li>Recognition of face and ear images by comparison with face and ear databases respectively and calculation of Euclidean distance </li></ul><ul><li>[Please add some other stuff too that u think we can show] </li></ul>
  10. 10. Work to be done <ul><li>Automatic extraction of face and ear from corresponding images </li></ul><ul><li>Implementation of other algorithms and a comparison of their performance </li></ul><ul><li>Integration of both face and ear recognition in a single tool </li></ul><ul><li>Development of GUI </li></ul><ul><li>Comparison of face and ear as a biometric </li></ul><ul><li>Identify reasons for error/limitations of the tool developed </li></ul>
  11. 11. References (to be updated) <ul><li>John D. Woodward, Jr., Christopher Horn, Julius Gatune, and Aryn Thomas: “ Biometrics - A Look at Facial Recognition ”, RAND Public Safety and Justice, 2003 </li></ul><ul><li>Lammi, Hanna-Kaisa: “ Ear Biometrics ”. Lappeenranta University of Technology, Department of Information Technology, Laboratory of Information Processing, P.O. BOX 20, 53851 Lappeenranta, Finland </li></ul><ul><li>Burge, M. and Burger, W. “ Ear Biometrics in Computer Vision ”. In the 15th International Conference of Pattern Recognition, ICPR 2000. </li></ul><ul><li>Wikipedia: http:// en.wikipedia.org/wiki/Biometrics </li></ul>
  12. 12. Thank You