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Dissertation/Thesis Abstract
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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.
| Advisor: | Chassiakos, Anastasios |
| Commitee: | Ary, James, Tran, Boi |
| School: | California State University, Long Beach |
| Department: | Electrical Engineering |
| School Location: | United States -- California |
| Source: | MAI 55/06M(E), Masters Abstracts International |
| Source Type: | DISSERTATION |
| Subjects: | Electrical engineering |
| Keywords: | Face recognition, Image processing |
| Publication Number: | 10142977 |
| ISBN: | 978-1-339-98231-1 |
