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![Page 1: Facial Recognition Software Application ECE 533 Final Project ECE 533 Final Project Steffes, RobertID: 901-685-8871 Steffes, RobertID: 901-685-8871 Schultz,](https://reader035.fdocuments.in/reader035/viewer/2022071709/56649d955503460f94a7e09f/html5/thumbnails/1.jpg)
Facial Recognition Software Facial Recognition Software ApplicationApplication
ECE 533 Final ProjectECE 533 Final Project Steffes, RobertSteffes, Robert ID: 901-685-8871ID: 901-685-8871 Schultz, AndySchultz, Andy ID: 901-692-5217ID: 901-692-5217 12/12/200312/12/2003
![Page 2: Facial Recognition Software Application ECE 533 Final Project ECE 533 Final Project Steffes, RobertID: 901-685-8871 Steffes, RobertID: 901-685-8871 Schultz,](https://reader035.fdocuments.in/reader035/viewer/2022071709/56649d955503460f94a7e09f/html5/thumbnails/2.jpg)
TopicsTopics
Introduction Introduction Work PerformedWork Performed Testing the AlgorithmTesting the Algorithm ResultsResults ConclusionConclusion
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IntroductionIntroduction
Advanced image processing Advanced image processing algorithm for facial recognition algorithm for facial recognition
There are several techniques There are several techniques currently used in facial recognition:currently used in facial recognition:• EigenfaceEigenface• Edge mappingEdge mapping• Line edge mappingLine edge mapping
grouping pixels of a face edge map to line grouping pixels of a face edge map to line segments segments
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Work PerformedWork Performed
Construction of Facial Recognition Construction of Facial Recognition Algorithm Algorithm • LEM using sobel filtersLEM using sobel filters
Vertical sobel filterVertical sobel filter Horizontal sobel filterHorizontal sobel filter
Hausdorff distanceHausdorff distance• Use modified averaging method to Use modified averaging method to
compare two imagescompare two images
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Testing the AlgorithmTesting the Algorithm
Facial images of 15 different subjects Facial images of 15 different subjects were chosen from a databasewere chosen from a database• Three databases to choose fromThree databases to choose from
Varying pose, angle, and expressionVarying pose, angle, and expression Test against different databaseTest against different database
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ResultsResults
Average of all tests run was found to Average of all tests run was found to be 79%be 79%
No tests were individually less than No tests were individually less than 73%73%
Addition of a foreign object (glasses)Addition of a foreign object (glasses)• Did not seem to increase its likelihood of Did not seem to increase its likelihood of
being mismatchedbeing mismatched
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ConclusionConclusion
Promising resultsPromising results• ablity to recognize a particular face from ablity to recognize a particular face from
a group in a databasea group in a database Real-world applications Real-world applications
• surveillance or security systemsurveillance or security system• mug shots in law enforcement mug shots in law enforcement