The current project presents the development of a face recognition system, which is used in an educational setting to monitor student attendance in the classroom. A scale invariant feature transformation (SIFT) algorithm is implemented to extract key feature points from a student’s image. These key points are matched with features already saved in a student database to match and identify each student. After the student faces are matched, a text message is sent via a GSM modem to the mobile phone of an authorized person, such as a parent, informing them about the student's presence in the classroom. Experimental validation and successful demonstration of the system is performed through the recognition and matching of different student faces.
|Commitee:||Ary, James, Tran, Boi|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 55/06M(E), Masters Abstracts International|
|Keywords:||Face recognition, Image processing|
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