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1

Sandström, Marie. "Liveness Detection in Fingerprint Recognition Systems." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2397.

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<p>Biometrics deals with identifying individuals with help of their biological data. Fingerprint scanning is the most common method of the biometric methods available today. The security of fingerprint scanners has however been questioned and previous studies have shown that fingerprint scanners can be fooled with artificial fingerprints, i.e. copies of real fingerprints. The fingerprint recognition systems are evolving and this study will discuss the situation of today. </p><p>Two approaches have been used to find out how good fingerprint recognition systems are in distinguishing between live
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TOOSI, AMIRHOSEIN. "Feature Fusion for Fingerprint Liveness Detection." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2711594.

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For decades, fingerprints have been the most widely used biometric trait in identity recognition systems, thanks to their natural uniqueness, even in rare cases such as identical twins. Recently, we witnessed a growth in the use of fingerprint-based recognition systems in a large variety of devices and applications. This, as a consequence, increased the benefits for offenders capable of attacking these systems. One of the main issues with the current fingerprint authentication systems is that, even though they are quite accurate in terms of identity verification, they can be easily spoo
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GHIANI, LUCA. "Textural features for fingerprint liveness detection." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266594.

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The main topic ofmy research during these three years concerned biometrics and in particular the Fingerprint Liveness Detection (FLD), namely the recognition of fake fingerprints. Fingerprints spoofing is a topical issue as evidenced by the release of the latest iPhone and Samsung Galaxy models with an embedded fingerprint reader as an alternative to passwords. Several videos posted on YouTube show how to violate these devices by using fake fingerprints which demonstrated how the problemof vulnerability to spoofing constitutes a threat to the existing fingerprint recognition systems. De
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Ström, Bartunek Josef. "FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11149.

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Prior to 1960's, the fingerprint analysis was carried out manually by human experts and for forensic purposes only. Automated fingerprint identification systems (AFIS) have been developed during the last 50 years. The success of AFIS resulted in that its use expanded beyond forensic applications and became common also in civilian applications. Mobile phones and computers equipped with fingerprint sensing devices for fingerprint-based user identification are common today. Despite the intense development efforts, a major problem in automatic fingerprint identification is to acquire reliable matc
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Butler, Joseph G. "Automated Fingertip Detection." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3164.

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One of the oldest biometrics that has been used to uniquely identify a person is their fingerprint. Recent developments in research on fingerprint collection have made it possible to collect fingerprint data from a stand-off digital image. Each of the techniques developed so far have relied on either a very controlled capture environment to ensure only a single fingertip is collected or manual cropping of the image down to the fingertip. The main body of the research focuses on extracting the fingerprint itself. If fingerprint collection via digital image is ever to be fielded in the real worl
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Memon, Shahzad Ahmed. "Novel active sweat pores based liveness detection techniques for fingerprint biometrics." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7060.

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Liveness detection in automatic fingerprint identification systems (AFIS) is an issue which still prevents its use in many unsupervised security applications. In the last decade, various hardware and software solutions for the detection of liveness from fingerprints have been proposed by academic research groups. However, the proposed methods have not yet been practically implemented with existing AFIS. A large amount of research is needed before commercial AFIS can be implemented. In this research, novel active pore based liveness detection methods were proposed for AFIS. These novel methods
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7

Canhoto, Olinda. "Applications of volatile fingerprint sensor arrays for rapid detection of environmental contaminants." Thesis, Cranfield University, 2005. http://hdl.handle.net/1826/919.

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The electronic nose (e-nose) technology has rapidly evolved in the past decade with a range of applications in the food industry, medical diagnosis, and recently environmental monitoring. This is the first time that this technology has been examined in detail for a range of specific environmental applications including: detection of low concentrations of bacterial, fungal and heavy metal contaminants in potable water; analyses of changes in the microbial activity of soil samples amended with heavy metals; and the detection of fungal contaminants in paper samples from library material. In some
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Nilsson, Erik. "Abstract Syntax Tree Analysis for Plagiarism Detection." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-80888.

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Today, universities rely heavily on systems for detecting plagiarism in students’essays and reports. Code submissions however require specific tools. A numberof approaches to finding plagiarisms in code have already been tried, includingtechniques based on comparing textual transformations of code, token strings,parse trees and graph representations. In this master’s thesis, a new system, cojac,is presented which combines textual, tree and graph techniques to detect a broadspectrum of plagiarism attempts. The system finds plagiarisms in C, C++ and Adasource files. This thesis discusses the met
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Nogueira, Rodrigo Frassetto 1986. "Software based fingerprint liveness detection = Detecção de vivacidade de impressões digitais baseada em software." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259824.

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Orientador: Roberto de Alencar Lotufo<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-26T03:01:45Z (GMT). No. of bitstreams: 1 Nogueira_RodrigoFrassetto_M.pdf: 3122263 bytes, checksum: e6333eb55b8b4830e318721882159cd1 (MD5) Previous issue date: 2014<br>Resumo: Com o uso crescente de sistemas de autenticação por biometria nos últimos anos, a detecção de impressões digitais falsas tem se tornado cada vez mais importante. Neste trabalho, nós implementamos e comparamos várias técnicas baseadas
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Born, Kenton P. "Combating client fingerprinting through the real-time detection and analysis of tailored web content." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/13277.

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Doctor of Philosophy<br>Department of Computing Science<br>David Gustafson<br>The web is no longer composed of static resources. Technology and demand have driven the web towards a complex, dynamic model that tailors content toward specific client fingerprints. Servers now commonly modify responses based on the browser, operating system, or location of the connecting client. While this information may be used for legitimate purposes, malicious adversaries can also use this information to deliver misinformation or tailored exploits. Currently, there are no tools that allow a user to detect when
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Dohnálek, Tomáš. "Liveness Detection on Fingers Using Vein Pattern." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234901.

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Tato práce se zabývá rozšířením snímače otisků prstů Touchless Biometric Systems 3D-Enroll o jednotku detekce živosti prstu na základě žil. Bylo navrhnuto a zkonstruováno hardwarové řešení s využitím infračervených diod. Navržené softwarové řešení pracuje ve dvou různých režimech: detekce živosti na základě texturních příznaků a verifikace uživatelů na základě porovnávání žilních vzorů. Datový soubor obsahující přes 1100 snímků jak živých prstů tak jejich falsifikátů vznikl jako součást této práce a výkonnost obou zmíněných režimů byla vyhodnocena na tomto datovém souboru. Na závěr byly navrhn
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Doležel, Michal. "Detekce oblasti otisku prstu v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237234.

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This master's thesis deals with proposal and implementation of system for detection of fingerprint area in image. The first task was to elaborate the theory which is necessary for understanding the image fingerprint area detection problems. It is also necessary to propose a specific system for image fingerprint area detection where it is possible to enhance or improve present methods or design a new one. The proposed system making use of selected method will be able to avoid all problems arising during fingerprint area detection. Description of proposed system implementation and testing on the
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Vican, Peter. "Detekce a klasifikace poškození otisku prstu s využitím neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445544.

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The aim of this diploma thesis is to study and design experimental improvement of the convolutional neural network for disease detection. Another goal is to extend the classifier with a new type of detection. he new type of detection is damage fingerprint by pressure. The experimentally improved convolutional network is implemented by PyTorch. The network detects which part of the fingerprint is damaged and draws this part into the fingerprint. Synthetic fingerprints are used when training the net. Real fingerprints are added to the synthetic fingerprints.
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14

Brabec, Lukáš. "Biometrická detekce živosti pro technologii rozpoznávání otisků prstů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234955.

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This work focuses on liveness detection for the fingerprint recognition technology. The first part of this thesis describes biometrics, biometric systems, liveness detection and the method for liveness detection is proposed, which is based on spectroscopic characteristics of human skin. The second part describes and summarizes performed experiments. In the end, the results are discussed and further improvements are proposed.
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15

Zheng, Yu. "Low-cost and Robust Countermeasures against Counterfeit Integrated Circuits." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1408640108.

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Falade, Joannes Chiderlos. "Identification rapide d'empreintes digitales, robuste à la dissimulation d'identité." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMC231.

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La biométrie est de plus en plus utilisée à des fins d’identification compte tenu de la relation étroite entre la personne et son identifiant (comme une empreinte digitale). Nous positionnons cette thèse sur la problématique de l’identification d’individus à partir de ses empreintes digitales. L’empreinte digitale est une donnée biométrique largement utilisée pour son efficacité, sa simplicité et son coût d’acquisition modeste. Les algorithmes de comparaison d’empreintes digitales sont matures et permettent d’obtenir en moins de 500 ms un score de similarité entre un gabarit de référence (stoc
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Jurek, Jakub. "Biometrické rozpoznání živosti prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242191.

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This project deals with general biometrics issues focusing on fingerprint biometrics, with description of dermal papillae and principles of fingerprint sensors. Next this work deals with fingerprint liveness detection issues, including description of methods of detection. Next this work describes chosen features for own detection, used database of fingerprints and own algorithm for image pre-processing. Furthermore neural network classifier for liveness detection with chosen features is decribed followed by statistic evaluation of the chosen features and detection results as well as descriptio
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18

Hou, Jidong. "Ultrasonic signal detection and recognition using dynamic wavelet fingerprints." W&M ScholarWorks, 2004. https://scholarworks.wm.edu/etd/1539623437.

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A novel ultrasonic signal detection and characterization technique is presented in this dissertation. The basic tool is a simplified time-frequency (scale) projection which is called a dynamic wavelet fingerprint. Take advantage of the matched filter and adaptive time-frequency analysis properties of the wavelet transform, the dynamic wavelet fingerprint is a coupled approach of detection and recognition. Different from traditional value-based approaches, the dynamic wavelet fingerprint based technique is pattern or knowledge based. It is intuitive and self-explanatory, which enables the direc
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19

Lichvár, Michal. "Detekce živosti prstu na základě změn papilárních linií." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-236005.

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There are several frauds against biometric systems (BSs) and several techniques exist to secure BSs against these frauds. One of the techniques is liveness detection. To fool fingerprint sensors, latent fingerprints, dummy fingers and wafer-thin layer attached to the finger are being used. Liveness detection is being used also when scanning fingerprints. Several different characteristics of the live finger can be used to detect liveness, for example sweat, conductivity etc. In this thesis, new approach is examined. It is based on the expandability of the finger as an effect of heartbeats/pulsa
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Anton, Rukshala. "Etude et compréhension des mécanismes d’interaction de Composés Organiques Volatils (COV) par des couches polymères : application à la microdétection des polluants des environnements intérieurs." Thesis, Cergy-Pontoise, 2013. http://www.theses.fr/2013CERG0644.

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Les moisissures sont des biocontaminants courants des environnements intérieurs causant la biodégradation des matériaux qu'ils colonisent et favorisant l'apparition de diverses pathologies, notamment respiratoires telles que des allergies, des infections ou des toxi-infections.En raison de ces impacts, la maîtrise de la contamination fongique constitue une préoccupation majeure pour des secteurs aussi divers que les industries agro-alimentaires, pharmaceutiques, les hôpitaux ou encore les établissements patrimoniaux. Actuellement, les techniques utilisées pour surveiller ces environnements sen
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Beasley, Carolyn. "The fingerprint thief a crime novel and exegesis /." Swinburne Research Bank, 2009. http://hdl.handle.net/1959.3/66861.

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Thesis (PhD) - [Higher Education Division - Lilydale], Swinburne Institute of Technology, 2009.<br>Submitted for the degree of Doctor of Philosophy, [Higher Education Division - Lilydale], Swinburne University of Technology, 2009. Includes bibliographical references (p. 351-371)
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GUARNERA, LUCA. "Discovering Fingerprints for Deepfake Detection and Multimedia-Enhanced Forensic Investigations." Doctoral thesis, Università degli studi di Catania, 2021. http://hdl.handle.net/20.500.11769/539620.

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Forensic Science, which concerns the application of technical and scientific methods to justice, investigation and evidence discovery, has evolved over the years to the birth of several fields such as Multimedia Forensics, which involves the analysis of digital images, video and audio contents. Multimedia data was (and still is), altered using common editing tools such as Photoshop and GIMP. Rapid advances in Deep Learning have opened up the possibility of creating sophisticated algorithms capable of manipulating images, video and audio in a “simple” manner causing the emergence of a powerful
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Váňa, Tomáš. "Biometrické rozpoznání živosti prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221380.

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This master‘s thesis deals with biometric fingerprint liveness detection. The theoretical part of the work describes fingerprint recognition biometric systems, fingerprint liveness detection issues and methods for fingerprint liveness detection. The practical part of the work describes proposed set of discriminant features and preprocessing of fingerprint image. Proposed approach using neural network to detect a liveness. The algorithm is tested on LivDet database comprising real and fake images acquired with tree sensors. Classification performance approximately 93% was obtained.
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Saloň, Marek. "Detekce metod zjišťujících otisk prohlížeče." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445521.

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The main goal of this thesis is to design and implement a mechanism that provides protection against stateless tracking with browser fingerprint. Implemented tool has a form of module that takes part of JavaScript Restrictor extension. The module allows to specify heuristics used for evaluation of visited sites that may contain browser fingerprint extraction. If suspicious activity is detected, all subsequent HTTP requests from that site are blocked to prevent the extracted fingerprint from being sent to the server. The implementation and defined heuristics were tested. The resulting module re
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Mumbo, Agatha Nyanduko. "The detection and recovery of latent fingerprints on clothing and fabric items." Thesis, Mumbo, Agatha Nyanduko (2019) The detection and recovery of latent fingerprints on clothing and fabric items. Masters by Coursework thesis, Murdoch University, 2019. https://researchrepository.murdoch.edu.au/id/eprint/53939/.

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Fingermarks recovered on fabrics from a crime scene can support the three aspects of forensic investigations; identification of the individuals involved and their association to each other and assist in reconstruction of the sequence of events. Currently, there are no recognized and generally accepted methods for the enhancement of fingerprints on fabrics due to the nature of the fabric composition. Cyanoacrylate fuming has been utilized in studies in fingerprint recovery on fabric. This method has proven to be effective for developing latent fingerprints on dark colored fabrics. On light
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Pais, Goyache Irene. "DEVELOPMENT OF A CHEMICAL FINGERPRINT FOR DETECTING UNTREATED HUMAN SEWAGE POLLUTION IN SURFACE WATER." Master's thesis, Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/360924.

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Civil Engineering<br>M.S.Env.E.<br>Untreated human sewage pollution in surface water is of concern because it contributes to the degradation of aquatic ecosystems and it could be a potential hazard to human health. Also, any pollution of surface water, which ultimately supplies drinking water, may affect the drinking water quality. Improper operation and maintenance of separate storm sewer systems are prominent contributors of untreated sewage to source waters, resulting from illicit connections, leakage of sewers, or cross-connections. This thesis studied anthropogenic markers to track untrea
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Lodrová, Dana. "Bezpečnost biometrických systémů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-261226.

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Hlavním přínosem této práce jsou dva nové přístupy pro zvýšení bezpečnosti biometrických systémů založených na rozpoznávání podle otisků prstů. První přístup je z oblasti testování živosti a znemožňuje použití různých typů falešných otisků prstů a jiných metod oklamání senzoru v průběhu procesu snímání otisků. Tento patentovaný přístup je založen na změně barvy a šířky papilárních linií vlivem přitlačení prstu na skleněný podklad. Výsledná jednotka pro testování živosti může být integrována do optických senzorů.  Druhý přístup je z oblasti standardizace a zvyšuje bezpečnost a interoperabilitu
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Pšenák, Patrik. "Zpracování otisků prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-374739.

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My master's thesis deals with the different techniques used in fingerprints processing for identifying fingerprints. Using the software tool Visual C++ and functions of OpenCV library I programmed a separate application, that is able to select from a database of fingerprints the most consistent with a comparative fingerprint images, even when they are mutually shifted in the direction of axes X and Y. The next step in my program is to gather the edges of the fingerprint image. Those obtained using Canny edge detector. Furthermore, getting the contours of the image edges. To determine, whether
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Sahgal, Natasha. "Microbial and non-microbial volatile fingerprints : potential clinical applications of electronic nose for early diagnoses and detection of diseases." Thesis, Cranfield University, 2008. http://dspace.lib.cranfield.ac.uk/handle/1826/2810.

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This is the first study to explore the potential applications of using qualitative volatile fingerprints (electronic nose) for early detection and diagnosis of diseases such as dermatophytosis, ventilator associated pneumonia and upper gastrointestinal cancer. The investigations included in vitro analysis of various dermatophyte species and strains, antifungal screening, bacterial cultures and associated clinical specimens and oesophageal cell lines. Mass spectrometric analyses were attempted to identify possible markers. The studies that involved e-nose comparisons indicated that the conducti
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Ya, Adelaide. "The detection and enhancement of latent fingerprints present on the adhesive side of black or dark coloured adhesive tapes." Thesis, Ya, Adelaide (2018) The detection and enhancement of latent fingerprints present on the adhesive side of black or dark coloured adhesive tapes. Masters by Coursework thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/41443/.

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Duct tapes and other similar adhesive tapes are often encountered in various types of crime scenes and these range from homicides involving tape-bound bodies to construction of improvised explosive devices. Therefore, the ability to obtain quality fingerprint impressions that may be present from the adhesive side of tapes can yield critical investigative information aiding in the investigation process. The process of recovering the latent fingerprints on the adhesive side of tapes, however, can be problematic due to the nature of the adhesive surface. It has been observed that there are a
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Van, Der Spil Krystal. "Evaluating the efficiency and sensitivity of one-step cyanoacrylate fuming methods in the detection and visualisation of latent fingerprints on the adhesive side of tape." Thesis, Van Der Spil, Krystal (2019) Evaluating the efficiency and sensitivity of one-step cyanoacrylate fuming methods in the detection and visualisation of latent fingerprints on the adhesive side of tape. Masters by Coursework thesis, Murdoch University, 2019. https://researchrepository.murdoch.edu.au/id/eprint/46924/.

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The evidential value of adhesive tape recovered from a crime scene plays a critical role in the criminal investigation as it could potentially contain things such as fibres, hair, DNA evidence, or fingerprints. Adhesive tape is a ubiquitous material that can be used in crimes that involve kidnapping and murder, as well as used to house cables in acts of terrorism. With regards to the adhesive side of tape, the sticky nature of this surface not only increases the likelihood of latent fingerprint deposits but has routinely proved to be a problematic substrate to work with. As latent fingerprints
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Homola, Antonín. "Detekce šířky papilární linie u otisku prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236952.

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This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods fo
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Kim, Dae Wook. "Data-Driven Network-Centric Threat Assessment." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495191891086814.

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Dormer, Mia Emilie. "A hidden life : how EAS (Era Appropriate Science) and professional investigators are marginalised in detective and historical detective fiction." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/33257.

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This by-practice project is the first to provide an extensive investigation of the marginalisation of era appropriate science (EAS) and professional investigators by detective and historical detective fiction authors. The purpose of the thesis is to analyse specific detective fiction authors from the earliest formats of the nineteenth century through to the 1990s and contemporary, selected historical detective fiction authors. Its aim is to examine the creation, development and perpetuation of the marginalisation tradition. This generic trend can be read as the authors privileging their detect
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Varga, Adam. "Identifikace a charakterizace škodlivého chování v grafech chování." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442388.

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Za posledné roky je zaznamenaný nárast prác zahrňujúcich komplexnú detekciu malvéru. Pre potreby zachytenia správania je často vhodné pouziť formát grafov. To je prípad antivírusového programu Avast, ktorého behaviorálny štít deteguje škodlivé správanie a ukladá ich vo forme grafov. Keďže sa jedná o proprietárne riešenie a Avast antivirus pracuje s vlastnou sadou charakterizovaného správania bolo nutné navrhnúť vlastnú metódu detekcie, ktorá bude postavená nad týmito grafmi správania. Táto práca analyzuje grafy správania škodlivého softvéru zachytené behavioralnym štítom antivírusového program
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Pahlberg, Tobias. "Wood fingerprint recognition and detection of thin cracks." Doctoral thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65701.

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The first part of this thesis deals with recognition of wood fingerprints extracted from timber surfaces. It presents different methods to track sawn wood products through an industrial process using cameras. The possibility of identifying individual wood products comes from the biological variation of trees, where the genetic code, environment, and breakdown process means that every board has a unique appearance. Wood fingerprint recognition experiences many of the same challenges as found in human biometrics applications.  The vision for the future is to be able to utilize existing imaging s
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Tsung-Min, Hsu, and 徐宗民. "Improved Poincare Index for Fingerprint Singular Point Detection." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/26953114580085546920.

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碩士<br>國立中央大學<br>資訊工程學系在職專班<br>103<br>Singularity points are key features in fingerprint images, representing the flow patterns of ridges and valleys. Therefore, the position and quantity of singularities are crucial in fingerprint recognition systems. In conventional singularity detection methods, the Poincaré index is prone to influence by local directional noises. This often results in excessive false reference points or the loss of true reference points. This study proposed an improved singularity detection method through applying a series of processing techniques comprising discrete wavele
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"Constraining climate model properties using optimal fingerprint detection methods." MIT Joint Program on the Science and Policy of Global Change, 2000. http://hdl.handle.net/1721.1/3583.

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We present a method for constraining key properties of the climate system that are important for climate prediction (climate sensitivity and rate of heat penetration into the deep ocean) by comparing a model's response to known forcings over the 20th century against climate observations for that period. We use the MIT 2D climate model in conjunction with results from the Hadley Centre's coupled atmosphere-ocean general circulation model (AOGCM) to determine these constraints. The MIT 2D model is a zonally-averaged version of a 3D GCM which can accurately reproduce the global-mean transient res
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Banh, Hung Nghiep. "Evaluation of fingerprint development reagents for biological stain detection." Thesis, 2016. https://hdl.handle.net/2144/19206.

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Some latent fingerprint development techniques rely on the reaction with amino acids within the fingerprint and then either change in color or fluoresce to help visualize this fingerprint. Amino acids are the building blocks of proteins and are present in all biological fluid. Thus, these developers should be able to also locate biological stains. In a previous study, ninhydrin was shown to be able to locate biological stains. Two more latent fingerprint developers are introduced as possible universal biological stain detectors: 1,8-diazafluoren-9-one (DFO), and 1,2-indanedione (1,2-IND). Five
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Yi, Hung Ming, and 洪銘曎. "Blur detection for fingerprint classification based on gradient and SVD." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/39075506475585587790.

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碩士<br>國立高雄應用科技大學<br>光電與通訊研究所<br>99<br>Automatic fingerprint classification is nowadays one of the most important and reliable biometric technologies. This is because of the fingerprint distinctiveness, persistence, ease of acquisition, and high matching accuracy rates. However, the performance of classification relies heavily on the quality of the input fingerprint images. Due to various factors such as skin conditions, e.g. dry, wet, cuts, scars, and bruises, non-uniform finger pressure, noise introduced by sensor and inherently poor-quality fingers, e.g. manual workers and elders, a signific
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Chen, Jiancong, and 陳健聰. "Defective Region Detection in Fingerprint Images with Fully Convolutional Network." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/r3hcg3.

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碩士<br>國立清華大學<br>資訊工程學系所<br>105<br>Fingerprint, one of the most popular and acceptable biometric features, is widely used in all kinds of fields. Fingerprint recognition technology has been researched for decades. However, even the state-of-the-art recognition approach, its performance depends greatly on the fingerprint quality. If we can detect the defective or low-quality regions in fingerprint images, we can repair them or downgrade these regions to improve the recognition performance. In this thesis, we propose a system for defective region detection from fingerprint images based on fully c
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Sequeira, Ana Filipa Pinheiro. "Liveness Detection and Robust Recognition in Iris and Fingerprint Biometric Systems." Doctoral thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/81992.

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Sequeira, Ana Filipa Pinheiro. "Liveness Detection and Robust Recognition in Iris and Fingerprint Biometric Systems." Tese, 2015. https://repositorio-aberto.up.pt/handle/10216/81992.

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Huang, Yi-Hong, and 黃逸泓. "A Rotation Invariance Singular Point Detection Algorithm on a Fingerprint Verification System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/95355181004209072891.

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碩士<br>清雲科技大學<br>電機工程研究所<br>95<br>A robust fingerprint singular point detection algorithm with rotation-invariant ability is proposed. Two 7x7 templates of core and delta are constructed from the orientation map of a fingerprint that is formed by using Sobel operators. The differences between the value of central element and those of the outer ring’s 24 elements of the template are calculated. Since the variations of the orientations around the singular point are greater than those of others, singular point can be correctly detected by comparing the 24 database . The algorithm has the merit to
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Chiu, Huei-Chi, and 邱惠琪. "Precise Detection for Fingerprint Singular Point based on SVD and Wavelet Extrema." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/74523526024590268949.

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碩士<br>國立高雄應用科技大學<br>光電與通訊研究所<br>98<br>The singular points, core and delta, are widely used in fingerprint classification and identification. In this thesis, a new singular point detection algorithm based on adaptive image enhancement, compact boundary segmentation, and 2-D non-separable wavelet extrema for localization is proposed. We perform adaptive correction for low contrast image to replace the intensity information of a given image matrix with another equalized intensity matrix of the image. With the help of binary thresholding, the impression-of-interest (IOI) region is segmented via th
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Almeida, Eurico Mendes de. "Self-Supervised Attention for Vehicle Fingerprint." Master's thesis, 2021. http://hdl.handle.net/10316/97990.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia<br>Este trabalho visa encontrar formas de encontrar e delimitar as diferenças que distiguem cada veículo. O objectivo é conseguir discriminar entre veículos do mesmo tipo, marca, modelo ou cor através de elementos distintivos como os selos no pára-brisas, auto-colantes, objectos no interior de veículos, etc... Em suma, atributos que permitão distinguir entre veículos semelhantes, sem ter acesso a matrícula do veículo. Estes elementos são o que procuramos encontrar a
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Liu, Chia-Ming, and 劉佳明. "Research on Overlapping Fingerprint Feature Detection Based on Multiple Feature Set with Support Vector Machine Identification." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/34u6vm.

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碩士<br>國立臺北科技大學<br>資訊工程系研究所<br>105<br>In this thesis, two key techniques, the multiple filter set and the feature classification method based on support vector machines (SVMs) are proposed for fingerprint feature identification. In the past approaches, the Gabor filter was verified as a successful method, and usually selected as fingerprint feature detection. Although the Gabor filer have high accuracy for feature extraction under widely angle representation range, not all degree ranges of the filter are necessary. A disadvantage in the different degree range will cause large computation costs.
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TSENG, PO-CHANG, and 曾柏彰. "Luminescence Characteristics of NaAl11O17:Mn2+ and Sr2MgSi2O7:Eu2+ Phosphors and Their Application in Latent Fingerprint Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/83mfpw.

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碩士<br>國立高雄科技大學<br>電子工程系<br>107<br>The identification of latent fingerprints has been widely used in the field of forensics, this is because that fingerprints of each person and each finger are unique and do not change with age. However, fingerprints are not easy to be detected if they are not stained with colored substances such as blood or pigments. In order to identify these potential fingerprints, the most extensive and simple method is the powder dusting method. Consider the characteristics of phosphor sources. Powders been used traditionally have the disadvantages of low contrast, low sen
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HUNG, YING-CHE, and 洪英哲. "Synthesis and Luminescence Characteristics of Deep-Red Emitting Phosphor and Its Application in Latent Fingerprint Detection." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/34858t.

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碩士<br>國立高雄應用科技大學<br>電子工程系<br>106<br>The white light emitting diode (LED) has the characteristics of small size, high luminescence efficiency and long life, which is considered to be a lighting source to replace incandescent and fluorescent lamps. Traditionally, the commercial white LED is fabricated using a blue chip to pump the yellow Y3Al5O12:Ce3+ phosphor, however, which suffers from low color rendering index and high correlated color temperature, attributing to insufficient red component in luminescent spectrum. Accordingly, to achieve a high quality white LED, the synthesis of red phospho
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Yong, Siaw-Jan. "Detection of latent fingerprints with cyanoacrylates : new techniques involving coloured and photoluminescent compounds." Phd thesis, 1986. http://hdl.handle.net/1885/138856.

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