Thesis (M.S.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains viii, 67 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 62-67).

Thesis (M.S.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains xiii, 107 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 101-107).

Thesis (M.S.)--University of Texas at El Paso, 2009. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.

Thesis (M.S.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains vi, 56 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 52-56).

Thesis (Ph.D.)--Virginia Commonwealth University, 2010. / Prepared for: Dept. of Computer Science. Title from title-page of electronic thesis. Bibliography: leaves 64-72.

Thesis (M.S.)--Rochester Institute of Technology, 2005. / Typescript. Includes bibliographical references (leaves 71-74).

Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Includes bibliographical references (p. 116-120).

Thesis (MSc.(Anatomy)--Faculty of Health Sciences)-University of Pretoria, 2006. / Includes bibliographical references.

M. Comm. / Malicious acts such as fraud and terrorisms are continually becoming a more pressing threat. The need is growing daily for a cheap, non-intrusive technology, that does not make use of specialized equipment, which can identify individuals with or without their knowledge or permission, over the internet or in the public domain. The answer to this problem might be digital facial recognition, the authentication of a person according to the measurements and shape of his facial patterns (nodal points). Thus far the technology has primarily been used by law enforcement. The great strength of facial recognition is that it can scan multiple people in an area quickly, with or without their interaction with the system. The purpose of facial recognition surveillance is to implement it anywhere possible, for example shopping centres, street corners, hotel lobbies or train stations, and to be able to identify any individual finding himself in any of these areas. Also, if a larger system can be implemented, we would be able to track any individual wherever he goes. Through this, any suspicious character can be monitored and tracked if the need arises, ensuring that people can live in a much safer world.

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