Thesis (M.S.)--Brigham Young University. Dept. of Technology, 2005. / Includes bibliographical references (p. 141-144).

Approved for public release, distribution unlimited / This thesis explores ways of using probe packets to identify the type and version of OS that is run by a remote IPv6 host. Such a probing technique can be effective because developers of different OSes often interpret the guidance provided by the RFCs slightly differently, and consequently their network protocol stack implementation may generate responses bearing unique markers to certain probing packets. The key challenge is to find suitable probing packets for different OSes. Using a real IPv6 test bed, this thesis has evaluated both existing UDP-or-TCP-based and new IPv6-extension-header-based probing packets against a selected set of eight popular OSes. The results show that the UDP/TCP methods are also effective in an IPv6 environment and the extension header approach is worthy further study. There are evidences that OS fingerprinting is harder with IPv6. It might be due to the fact that given the experimental nature of IPv6, similar OSes tend to reuse IPv6 code. This conjecture requires further study. Finally, the thesis has also developed a method of crafting arbitrary IPv6 packets using the SmartBits system.

The use of biometrics is an evolving component in today's society. Fingerprint recognition continues to be one of the most widely used biometric systems. This thesis explores the various steps present in a fingerprint recognition system. The study develops a working algorithm to extract fingerprint minutiae from an input fingerprint image. This stage incorporates a variety of image pre-processing steps necessary for accurate minutiae extraction and includes two different methods of ridge thinning. Next, it implements a procedure for matching sets of minutiae data. This process goes through all possible alignments of the datasets and returns the matching score for the best possible alignment. Finally, it conducts a series of matching experiments to compare the performance of the two different thinning methods considered. Results show that thinning by the central line method produces better False Non-match Rates and False Match Rates than those obtained through thinning by the block filter method. / US Navy (USN) author.

Chan Ka Cheong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 77-85). / Abstracts in English and Chinese. / Chapter 1. --- Introduction --- p.1 / Chapter 1.1 --- Introduction to Fingerprint Verification --- p.1 / Chapter 1.1.1 --- Biometrics --- p.1 / Chapter 1.1.2 --- Fingerprint History --- p.2 / Chapter 1.1.3 --- Fingerprint characteristics --- p.4 / Chapter 1.1.4 --- A Generic Fingerprint Matching System Architecture --- p.6 / Chapter 1.1.5 --- Fingerprint Verification and Identification --- p.8 / Chapter 1.1.7 --- Biometric metrics --- p.10 / Chapter 1.2 --- Embedded system --- p.12 / Chapter 1.2.1 --- Introduction to embedded systems --- p.12 / Chapter 1.2.2 --- Embedded systems characteristics --- p.12 / Chapter 1.2.3 --- Performance evaluation of a StrongARM processor --- p.13 / Chapter 1.3 --- Objective -An embedded fingerprint verification system --- p.16 / Chapter 1.4 --- Organization of the Thesis --- p.17 / Chapter 2 --- Literature Reviews --- p.18 / Chapter 2.1 --- Fingerprint matching overviews --- p.18 / Chapter 2.1.1 --- Minutiae-based fingerprint matching --- p.20 / Chapter 2.2 --- Fingerprint image enhancement --- p.21 / Chapter 2.3 --- Orientation field Computation --- p.22 / Chapter 2.4 --- Fingerprint Segmentation --- p.24 / Chapter 2.5 --- Singularity Detection --- p.25 / Chapter 2.6 --- Fingerprint Classification --- p.27 / Chapter 2.7 --- Minutia extraction --- p.30 / Chapter 2.7.1 --- Binarization and thinning --- p.30 / Chapter 2.7.2 --- Direct gray scale approach --- p.32 / Chapter 2.7.3 --- Comparison of the minutiae extraction approaches --- p.35 / Chapter 2.8 --- Minutiae matching --- p.37 / Chapter 2.8.1 --- Point matching --- p.37 / Chapter 2.8.2 --- Structural matching technique --- p.38 / Chapter 2.9 --- Summary --- p.40 / Chapter 3. --- Implementation --- p.41 / Chapter 3.1 --- Fast Fingerprint Matching System Overview --- p.41 / Chapter 3.1.1 --- Typical Fingerprint Matching System --- p.41 / Chapter 3.1.2. --- Fast Fingerprint Matching System Overview --- p.41 / Chapter 3.2 --- Orientation computation --- p.43 / Chapter 3.21 --- Orientation computation --- p.43 / Chapter 3.22 --- Smooth orientation field --- p.43 / Chapter 3.3 --- Fingerprint image segmentation --- p.45 / Chapter 3.4 --- Reference Point Extraction --- p.46 / Chapter 3.5 --- A Classification Scheme --- p.51 / Chapter 3.6 --- Finding A Small Fingerprint Matching Area --- p.54 / Chapter 3.7 --- Fingerprint Matching --- p.57 / Chapter 3.8 --- Minutiae extraction --- p.59 / Chapter 3.8.1 --- Ridge tracing --- p.59 / Chapter 3.8.2 --- cross sectioning --- p.60 / Chapter 3.8.3 --- local maximum determination --- p.61 / Chapter 3.8.4 --- Ridge tracing marking --- p.62 / Chapter 3.8.5 --- Ridge tracing stop criteria --- p.63 / Chapter 3.9 --- Optimization technique --- p.65 / Chapter 3.10 --- Summary --- p.66 / Chapter 4. --- Experimental results --- p.67 / Chapter 4.1 --- Experimental setup --- p.67 / Chapter 4.2 --- Fingerprint database --- p.67 / Chapter 4.3 --- Reference point accuracy --- p.67 / Chapter 4.4 --- Variable number of matching minutiae results --- p.68 / Chapter 4.5 --- Contribution of the verification prototype --- p.72 / Chapter 5. --- Conclusion and Future Research --- p.74 / Chapter 5.1 --- Conclusion --- p.74 / Chapter 5.2 --- Future Research --- p.74 / Bibliography --- p.77

Thesis (M.S.)--West Virginia University, 2007. / Title from document title page. Document formatted into pages; contains x, 102 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 66-67).

M. Tech. Computer System Engineering / A single biometric trait for authentication is widely used in some application areas where security is of high importance. However, biometric systems are susceptible to noise, intraclass variation, non-universality and spoof attacks. Thus, there is need to use algorithms that overcome all these limitations found in biometric systems. The use of multimodal biometrics can improve the performance of authentication system. This study proposed using both fingerprint and face for authentication in access system.

Nowadays, TV advertising is an important part of our daily life. However, it is usually hard for organizations that produce and pay for the advertisements to confirm whether their commercials are broadcasted as required in time and frequency. Consequently, a multimedia file search problem arises and it has drawn more and more attention in the past decade. In this thesis, we propose an automatic commercial search scheme using audio fingerprinting and implement it in a PC-based application. Our commercial search algorithm is composed of two parts: one for audio feature extraction and another for database search. For the first part, although the video stream of TV broadcast contains a great deal of intuitive information, we decide to ignore it because it takes much more storage and computations to process. For the audio stream, we have to extract proper audio features which can represent its characteristics and store them in a database for identification. We choose the Normalized Spectral Subband Centroids (NSSCs) as our audio fingerprints and preprocess the known commercials to build the database. For the second part, we apply a three-step process to search for any matches as the user requests, which comprises candidate search, decision-making and time verification. This process is performed for every N1 (N1=15 in our application) frames if the search result is negative. Once a match is confirmed, we skip the frames left in the commercial and use the frame after it to start a new process. Our experiment results are satisfactory based on the commercial and TV program data in our database. Moreover, it shows that our PC-based application is robust against degradation during real broadcast and recording.

Thesis (Ph. D.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains xiv, 131 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 121-131).

Thesis (M. P. A.)--Texas State University-San Marcos, 2006. / "Summer 2006." Includes bibliographical references (leaves 36-38).

Thesis (M.S.)--Southern Utah University, 2009. / Title from PDF title page. "Masters of science in Forensic Science." Includes bibliographical references (p. 31-34).