The goal of this project is to use pattern recognition techniques for the detection of a person's gender, using the hand signature of the person. The gender detection algorithm utilizes image processing methodologies to identify and evaluate certain parameters, such as the number of intersection points and amount curvature in the trace of the hand signature. The image of the signature is captured in real time from a webcam using LabVIEW (Laboratory Virtual Instrument Engineering Workshop) and the MyRIO FPGA (Field Programmable Gate Array) platform from National Instruments. It is subsequently processed in MatLab (Matrix Laboratory) using a combination of various filters. The system can be used to improve security of activities or transactions where a hand signature is required.
|Commitee:||Ary, James, Khoo, I-Hung|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 55/01M(E), Masters Abstracts International|
|Keywords:||Field programmable gate arrays, Gender detection, Hand signatures, Labview, MyRIO, Pattern recognition|
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