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Dissertation/Thesis Abstract

A face recognition-based attendance system
by Vuyyuru, Samrat Ashok Reddy, M.S., California State University, Long Beach, 2016, 46; 10142977
Abstract (Summary)

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.

Indexing (document details)
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
Subjects: Electrical engineering
Keywords: Face recognition, Image processing
Publication Number: 10142977
ISBN: 978-1-339-98231-1
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