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Facial Recognition Software Application ECE 533 Final Project ECE 533 Final Project Steffes, RobertID: 901-685-8871 Steffes, RobertID: 901-685-8871 Schultz,

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Presentation on theme: "Facial Recognition Software Application ECE 533 Final Project ECE 533 Final Project Steffes, RobertID: 901-685-8871 Steffes, RobertID: 901-685-8871 Schultz,"— Presentation transcript:

1 Facial Recognition Software Application ECE 533 Final Project ECE 533 Final Project Steffes, RobertID: 901-685-8871 Steffes, RobertID: 901-685-8871 Schultz, AndyID: 901-692-5217 Schultz, AndyID: 901-692-5217 12/12/2003 12/12/2003

2 Topics Introduction Introduction Work Performed Work Performed Testing the Algorithm Testing the Algorithm Results Results Conclusion Conclusion

3 Introduction Advanced image processing algorithm for facial recognition Advanced image processing algorithm for facial recognition There are several techniques currently used in facial recognition: There are several techniques currently used in facial recognition: EigenfaceEigenface Edge mappingEdge mapping Line edge mappingLine edge mapping grouping pixels of a face edge map to line segments grouping pixels of a face edge map to line segments

4 Work Performed Construction of Facial Recognition Algorithm Construction of Facial Recognition Algorithm LEM using sobel filtersLEM using sobel filters Vertical sobel filter Vertical sobel filter Horizontal sobel filter Horizontal sobel filter Hausdorff distance Hausdorff distance Use modified averaging method to compare two imagesUse modified averaging method to compare two images

5 Testing the Algorithm Facial images of 15 different subjects were chosen from a database Facial images of 15 different subjects were chosen from a database Three databases to choose fromThree databases to choose from Varying pose, angle, and expression Varying pose, angle, and expression Test against different database Test against different database

6 Results Average of all tests run was found to be 79% Average of all tests run was found to be 79% No tests were individually less than 73% No tests were individually less than 73% Addition of a foreign object (glasses) Addition of a foreign object (glasses) Did not seem to increase its likelihood of being mismatchedDid not seem to increase its likelihood of being mismatched

7 Conclusion Promising results Promising results ablity to recognize a particular face from a group in a databaseablity to recognize a particular face from a group in a database Real-world applications Real-world applications surveillance or security systemsurveillance or security system mug shots in law enforcementmug shots in law enforcement


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