Thesis (Ph.D.)--Ohio University, November, 2004. / Title from PDF t.p. Includes bibliographical references (p. 137-159)

Thesis (M.S.)--University of Missouri-Columbia, 2004. / Typescript. Includes bibliographical references (leaves 100-104). Also available on the Internet.

Thesis (Ph. D.)--University of Oregon, 2003. / Includes bibliographical references (leaves 137-145).

Thesis (M.S.)--California Polytechnic State University, 2009. / Mode of access: Internet. Title from PDF title page; viewed on November 19, 2009. Major professor: Dr. Kristen O'Halloran Cardinal. "Presented to the faculty of California Polytechnic State University, San Luis Obispo." "In partial fulfillment of the requirements for the degree [of] Master of Science in Biomedical Engineering." "August 2009." Includes bibliographical references (p. 143-158).

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M.Sc. (Information Technology) / Biometrics is a unique method used to identify humans by distinct biological characterises. In recent years biometrics are showing up everywhere from homes, workplaces, schools and banks. This identification method is rapidly replacing existing methods such as passwords since it offers a higher level of security compared to existing methods. Fingerprints are the most common biometric choice. However fingerprint biometrics is showing limitations. Since fingerprints are an external trait, it can be exposed to many situations (cuts, dirt, wear and tear, and skin conditions) that may impact the biometric captured. These factors can cause security and usability issues. There have been a number of successful attempts such as alteration of fingerprints and gummy fingers which are used to bypass fingerprint readers. An emerging biometric called finger-vein recognition was invented to overcome the issues that fingerprint biometrics have. Finger-vein recognition which is based on the vascular patterns that exist inside the finger, claim to have superior usability characteristics where less false acceptance or rejections occur. Since the finger-vein recognition is based on an internal trait it is assumed that external factors such as scars or even dirt will not affect the biometric collected. This dissertation aims to investigate the limitations of fingerprints and to determine whether finger-vein recognition can address these limitations. During the course of the dissertation applicable fields such as construction and mining will be identified for finger-vein recognition where fingerprint recognition has shown weakness. Together, fingerprint and finger-vein technologies will be used in a mining industry to perform minor experiments. The results of these experiments will be used to determine if finger-vein addresses the fundamental limitations of fingerprint biometrics in these industries. The main purposes of the dissertation will be to investigate finger-vein technology, the applicable fields and whether finger-vein recognition can solve the problems fingerprint recognition imposes in certain industries.