Human face profile recognition

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dc.contributor.advisor Chang, Tony
dc.contributor.advisor Matteson, Ronald
dc.contributor.author Wong, Vincent
dc.date.accessioned 2010-04-19T19:35:35Z
dc.date.available 2010-04-19T19:35:35Z
dc.date.issued 1994-07
dc.identifier.uri http://hdl.handle.net/1850/11882
dc.description.abstract The purpose of this thesis is to implement an automatic person identification system based on face profiles. Each person's face profile can be quite unique within a small sample population and therefore it can be used as the basis of an automatic person identification system. To quantify human face profiles for use in the recognition system, Fourier descriptors are used to describe the open curve extracted from a face profile. Fourier descriptors in the low-frequency range are shown to be useful for human face profile recognition. By using 16 Fourier coefficients, a correct recognition rate of 92% for 60 subjects was achieved. en_US
dc.language.iso en_US en_US
dc.subject Computer engineering en_US
dc.subject Facial recognition en_US
dc.subject.lcc TA1650.W66 1994
dc.subject.lcsh Optical pattern recognition en_US
dc.subject.lcsh Face perception--Data processing en_US
dc.subject.lcsh Identification--Data processing en_US
dc.title Human face profile recognition en_US
dc.type Thesis en_US
dc.description.college Kate Gleason College of Engineering en_US
dc.description.department Department of Electrical Engineering en_US

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