Relevant bibliographies by topics / Automated Fingerprint Identification System

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated Fingerprint Identification System'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Automated Fingerprint Identification System"

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Patil, Suraj Uday. "Automated Fingerprint Identification System." International Journal for Research in Applied Science and Engineering Technology 12, no. 10 (2024): 279–84. http://dx.doi.org/10.22214/ijraset.2024.64498.

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Abstract: AFIS is regarded as one of the greatest advancements in biometric systems as it enables fast and efficient identification of an individual by their distinct fingerprint designs. This system employs the use of digital imaging, finger-power techniques and other technologies in the storage and comparison of fingerprints. With AFIS, fingerprint images are all digitized making it easier to carry out crime investigations, border control and general identification of persons. The strength of AFIS systems is evidenced by the increased accuracy levels along with the capacity to accommodate nu
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Nwe, Ni Kyaw, Kyaw Naing Kyaw, and Myo Nwe Wai Myat. "Identification of Persons by Fingerprint using Huffman Coding Algorithm." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 1208–11. https://doi.org/10.5281/zenodo.3590611.

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Fingerprint system is one of the most common biometric features used for personal identification and verification. There are many techniques used for finding the features of fingerprint when it matches the other images of fingerprint. This system must input the fingerprint for the corresponding profile. It converts the binary image. This image will convert the Huffman code approach and to generate codes for input fingerprint. The system has the profile information along with their associated fingerprints. When the system identified the fingerprint, the system will display the associated profil
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Shen, Xuening, Minde Cheng, Qingyun Shi, and Guisheng Qiu. "A new automated fingerprint identification system." Journal of Computer Science and Technology 4, no. 4 (1989): 289–94. http://dx.doi.org/10.1007/bf02943110.

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Kirvel, Vitali. "Fingerprint analysis (AFIS) and biometric system of identification by fingerprints: issue of artificial papillary pictures." Общество и инновации 1, no. 3 (2021): 129–45. http://dx.doi.org/10.47689/2181-1415-vol1-iss3-pp129-145.

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The article discusses the theoretical and applied aspects, as well as prospects for the development of fingerprint examination, fingerprint records (automated fingerprint identification systems-AFIS) in the disclosure and uncovering of crimes, as well as biometric identification systems by fingerprints to protect personal data, control access to corporate and personal information, time tracking in the information sector of the economy.
 The paper presents methods form an ufacturing models with artificial papillary patterns (falsification of papillary patterns of fingerprints), the results
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Sun, Hong. "Design of Embedded Automated Fingerprint Identification System Based on DSP." Advanced Engineering Forum 1 (September 2011): 97–101. http://dx.doi.org/10.4028/www.scientific.net/aef.1.97.

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The automated fingerprint identification algorithm has high time and space complexity in the embedded system. How to reduce the complexity is one of the hot research topics. The process of fingerprint identification and choice of algorithm platform are analyzed in the paper. Design of embedded fingerprint identification hardware system based on DSP, including the selection of microprocessor and fingerprint sensor and the communication between them, is introduced in detail. In additional, main software composition and flow are explained. At last, serial peripheral interface communication is sim
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Singla, Nancy, Manvjeet Kaur, and Sanjeev Sofat. "Automated latent fingerprint identification system: A review." Forensic Science International 309 (April 2020): 110187. http://dx.doi.org/10.1016/j.forsciint.2020.110187.

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Zhang, Rui, and Feng Wang. "Research on Cogent Automatic Fingerprint Identification System." Advanced Materials Research 605-607 (December 2012): 1741–47. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1741.

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Cogent Automatic Fingerprint Identification System (CAFIS) was researched by Cogent Co. Ltd. This system filtrated and matched fingerprints feathers automatically by computer to search for similar fingerprints, which are identified by specialists finally. It can provide help for criminal cases. About CAFIS, this paper introduces the principle, fingerprint identification process and the system workflow. Then, it researches five functions modules; they are image acquisition, screening, feathers matching, scoring and sorting; and introduce the algorithm of feather matching briefly. Experimental r
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KWAN, PAUL W., JUNBIN GAO, YI GUO, and KEISUKE KAMEYAMA. "A LEARNING FRAMEWORK FOR ADAPTIVE FINGERPRINT IDENTIFICATION USING RELEVANCE FEEDBACK." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 01 (2010): 15–38. http://dx.doi.org/10.1142/s0218001410007841.

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In recent years, law enforcement personnel have greatly been aided by the deployment of Automated Fingerprint Identification Systems (AFIS). These systems largely operate by matching salient features automatically extracted from fingerprint images for their decision. However, there are two major shortcomings in current systems. First, the result of identification depends primarily on the chosen features and the algorithm that matches them. Second, these systems cannot improve their results by benefiting from interactions with seasoned examiners who often can identify minute differences between
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D.Deepakraj. "An Efficient Automatic Fingerprint Authentication System Using a Template Protection Technique." Journal of Information Systems Engineering and Management 10, no. 2s (2025): 140–49. https://doi.org/10.52783/jisem.v10i2s.208.

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The disclosure of biometric template data is one of the possible weaknesses in a biometric system, posing major security and privacy risks. The majority of template protection methods on the market fall short of meeting all the necessary specifications for a workable biometric system, including high matching accuracy, security, privacy, and revocability. Research on automated fingerprint-based identification began in the early 1960s since fingerprints have been a vital tool for forensics and law enforcement for more than a century. Our proposal includes a system that uses extraction of minutia
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Rwamurangwa, Godfrey. "Matching of Partial Middle Phalangeal Prints of the Finger for Identification of an Offender: The Use of Automated Biometric Identification System (ABIS)." International Journal of Forensic Sciences 9, no. 4 (2024): 1–4. https://doi.org/10.23880/ijfsc-16000424.

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Friction ridge impression from the areas of the fingers or hands that are not from the fingertips are called non-distal prints, which include palm prints, middle and proximal phalangeal prints, and interphalangeal prints. The presence of these fingerprints is less compared to distal print however, once retrieved from the scene of crime allow the identification of the individual who committed the crime. Therefore, this case report presents a burglary case where phalangeal prints from the finger retrieved from the site of crime matched the prints collected from the suspect. This case report also
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Dissertations / Theses on the topic "Automated Fingerprint Identification System"

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Chen, Chun-Cheng Richard 1977. "Automated cardiovascular system identification." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/81537.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (p. 64-65).<br>by Chun-Cheng Chen.<br>S.B.and M.Eng.
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Huvanandana, Sanpachai. "A framework for a fast fingerprint identification using a hybrid system /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5927.

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Rothman, Keith Eric. "Validation of Linearized Flight Models using Automated System-Identification." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/81.

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Optimization based flight control design tools depend on automatic linearization tools, such as Simulink®’s LINMOD, to extract linear models. In order to ensure the usefulness and correctness of the generated linear model, this linearization must be accurate. So a method of independently verifying the linearized model is needed. This thesis covers the automation of a system identification tool, CIFER®, for use as a verification tool integrated with CONDUIT®, an optimization based design tool. Several test cases are built up to demonstrate the accuracy of the verification tool with respect
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Louw, Lloyd A. B. "Automated face detection and recognition for a login system." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/438.

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Clarke, Colin. "Development of an automated identification system for nano-crystal encoded microspheres in flow cytometry." Thesis, Cranfield University, 2008. http://dspace.lib.cranfield.ac.uk/handle/1826/4036.

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Quantum dot encoded microspheres (QDEMs) offer much potential for bead based identification of a variety of biomolecules via flow cytometry (FCM). To date, QDEM subpopulation classification from FCM has required significant instrument modification or multiparameter gating. It is unclear whether or not current data analysis approaches can handle the increased multiplexed capacity offered by these novel encoding schemes. In this thesis the drawbacks of currently available data analysis techniques are demonstrated and novel classification methods proposed to overcome these limitations. A commerci
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Sun, Wei [Verfasser], Thomas [Akademischer Betreuer] Sikora, Thomas [Gutachter] Sikora, Atta [Gutachter] Badii, and Ivo [Gutachter] Keller. "Low complexity embedded fingerprint verification and identification system / Wei Sun ; Gutachter: Thomas Sikora, Atta Badii, Ivo Keller ; Betreuer: Thomas Sikora." Berlin : Technische Universität Berlin, 2016. http://d-nb.info/1156181704/34.

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Ghowsi, Ali, David Hatcher, Heeyeon Suh, Joorok Park, and Heesoo Oh. "Accuracy and reliability of a fully automated landmark identification system on Cone Beam Computed Tomography." Scholarly Commons, 2021. https://scholarlycommons.pacific.edu/dugoni_etd/17.

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ABSTRACT Introduction: Medical imaging continues to play an increasing role in health care and is an integral part of medicine and dentistry. Recent technological advancements have led to the development of fully automated landmark identification (ALI) systems capable of tracing Cone-Beam Computed Tomography (CBCT). The purpose of this study was to evaluate the accuracy and reliability of an ALI system as a tool for automatic landmark location compared to human judges. Methods: One hundred subjects’ CBCT volumes from multiple imaging centers were traced by two human judges who were calibrated
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González, Vidal Juan José. "Multivariate approach-based system for the automated interpretation of spectra : application to pigments identification through Raman spectroscopy in art analysis." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/460766.

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The application of spectroscopic techniques is crucial for art historians and conservators who require knowledge of materials used in works of art (pigments, dyes, binders, additives, ...) in particular instances. In this sense, the knowledge of pigments which were in use on the ancient artists' palettes is fundamental to preserve the art works. In addition, this knowledge is important to determine correct conservation approaches, to study degradation processes or authenticity-related issues. For instance, the proper interpretation of molecular signatures from a vibrational spectroscopy gives
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Johansson, Alfred. "Ensemble approach to code smell identification : Evaluating ensemble machine learning techniques to identify code smells within a software system." Thesis, Tekniska Högskolan, Jönköping University, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49319.

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The need for automated methods for identifying refactoring items is prelevent in many software projects today. Symptoms of refactoring needs is the concept of code smells within a software system. Recent studies have used single model machine learning to combat this issue. This study aims to test the possibility of improving machine learning code smell detection using ensemble methods. Therefore identifying the strongest ensemble model in the context of code smells and the relative sensitivity of the strongest perfoming ensemble identified. The ensemble models performance was studied by perfor
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Bueno, Jésus Franco. "Sistema automatizado de classificação de abelhas baseado em reconhecimento de padrões." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-10012011-114124/.

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A crescente perda mundial de biodiversidade tem sido uma das preocupações da comunidade científica internacional que motivaram a criação em 1992 da Convenção sobre a Diversidade Biológica, tornando-se um tratado de compromisso aceito pelos governantes de 187 países e pela Comunidade Européia. A redução da biodiversidade, devido a vários fatores, como a ação antrópica e o aquecimento global, compromete a capacidade do planeta de sustentação da vida humana em face do esgotamento dos recursos e serviços por ela prestados. A conservação e uso sustentável da biodiversidade passa necessariamente pel
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Books on the topic "Automated Fingerprint Identification System"

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Komarinski, Peter. Automated Fingerprint Identification Systems (AFIS). Academic Press, 2004.

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Komarinski, Peter. Automated fingerprint identification systems (AFIS). Elsevier Academic, 2005.

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Wilson, Thomas F. Automated fingerprint identification systems: Technology and policy issues. U.S. Department of Justice, Bureau of Justice Statistics, 1987.

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Wilson, Thomas F. Automated fingerprint identification systems: Technology and policy issues. U.S. Dept. of Justice, Bureau of Justice Statistics, 1987.

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Bolle, Ruud, and Nalini K. Ratha. Automatic fingerprint recognition systems. Springer, 2004.

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Alex, Berman, and Langley Research Center, eds. Automated dynamic analytical model improvement for damped structures. National Aeronautics and Space Administration, Langley Research Center, 1985.

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Sweeney, Mark Shaw. ANIS - an automated newt identification system: An application of image processing and pattern recognition techniques. De Montfort University, 1995.

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Office, Illinois Attorney General's. Ser informado es poder: El poder ofrece tranquilidad a las victimas. Illinois Attorney General, Lisa Madigan, 2003.

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United States. Congress. Senate. A bill to amend title IV of the Social Security Act to require States to establish a 2-digit fingerprint matching identification system in order to prevent multiple enrollments by an individual for benefits under such Act, and for other purposes. [United States Government Printing Office], 1994.

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Komarinski, Peter. Automated Fingerprint Identification Systems (AFIS). Elsevier Science & Technology Books, 2005.

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Book chapters on the topic "Automated Fingerprint Identification System"

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Zubavicius, Paulius, Antanas Cenys, and Lukas Radvilavicius. "Industrial Automated Fingerprint-Based Identification System." In Advances in Information Systems Development. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-70761-7_22.

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Maltoni, Davide, Raffaele Cappelli, and Didier Meuwly. "Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks." In Handbook of Biometrics for Forensic Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50673-9_3.

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Hamera, Łukasz, and Łukasz Więcław. "A Study of Friction Ridge Distortion Effect on Automated Fingerprint Identification System – Database Evaluation." In Computer Information Systems and Industrial Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99954-8_3.

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Schneider, J. K., C. E. Richardson, F. W. Kiefer, and Venu Govindaraju. "On the Correlation of Image Size to System Accuracy in Automatic Fingerprint Identification Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44887-x_104.

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Wetcharaporn, Wannasak, Nachol Chaiyaratana, and Sanpachai Huvanandana. "Enhancement of an Automatic Fingerprint Identification System Using a Genetic Algorithm and Genetic Programming." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11732242_33.

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Zhang, David D. "Fingerprint System." In Automated Biometrics. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4519-4_5.

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Zhang, David, and Guangming Lu. "3D Fingerprint Identification System." In 3D Biometrics. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7400-5_12.

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Hrebień, Maciej, and Józef Korbicz. "Automatic Fingerprint Identification Based on Minutiae Points." In Modelling Dynamics in Processes and Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92203-2_10.

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Zhao, Yunxiang, Wanxin Zhang, Dongsheng Li, and Zhen Huang. "DFIS: A Scalable Distributed Fingerprint Identification System." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27137-8_13.

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Shreya, Shashi, and Kakali Chatterjee. "Human Identification System Based on Latent Fingerprint." In Communication and Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1089-9_69.

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Conference papers on the topic "Automated Fingerprint Identification System"

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Rey, William P. "Usability Evaluation of the Mobile Automated Fingerprint Identification System Using the PACMAD Model: An Empirical Study." In 2024 IEEE 16th International Conference on Advanced Infocomm Technology (ICAIT). IEEE, 2024. https://doi.org/10.1109/icait62580.2024.10808103.

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Rey, William P. "Enhancing MAFIS: A Study on the Usability and User Experience of the Mobile Automated Fingerprint Identification System." In 2024 4th International Conference on Information Communication and Software Engineering (ICICSE). IEEE, 2024. http://dx.doi.org/10.1109/icicse61805.2024.10625670.

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Singh, Abhinav, Victor George, Dawnee Soman, Archeet Shekhar, Aishwary Gupta, and Ash Hinger. "Automated Darting Point Identification System." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915486.

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Thomopoulos, Stelios C., and James G. Reisman. "Fusion-based, high-volume automated fingerprint identification system (AFIS)." In Substance Identification Technologies, edited by James L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, et al. SPIE, 1994. http://dx.doi.org/10.1117/12.172536.

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Yuan Renmin, Zhang jinhai, and Liu Xinjian. "Automated fingerprint identification system research and implementation." In 2012 IEEE International Conference on Oxide Materials for Electronic Engineering (OMEE). IEEE, 2012. http://dx.doi.org/10.1109/omee.2012.6343718.

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Usmani, Zeeshan-ul-Hassan, Sarah Irum, Hassan Afzal, and Shahid Mahmud. "How to Build an Automated Fingerprint Identification System." In 2013 International Symposium on Biometrics and Security Technologies (ISBAST). IEEE, 2013. http://dx.doi.org/10.1109/isbast.2013.9.

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Hiew, B. Y., Andrew B. J. Teoh, and Y. H. Pang. "Touch-less Fingerprint Recognition System." In 2007 IEEE Workshop on Automatic Identification Advanced Technologies. IEEE, 2007. http://dx.doi.org/10.1109/autoid.2007.380587.

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Karima, Ait Sadi, Bouchair Imène, K. Zebbiche, and Moussadek Laadjel. "Protecting Digital Fingerprint in Automated Fingerprint Identification System using Local Binary Pattern Operator." In International Conference on Signal Processing and Multimedia Applications. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005055600330039.

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P. Rey, William, and Gisela V. Rolluqui. "Mobile Automated Fingerprint Identification System (MAFIS): An Android-based Criminal Tracking System using Fingerprint Minutiae Structure." In ICSET 2021: 2021 5th International Conference on E-Society, E-Education and E-Technology. ACM, 2021. http://dx.doi.org/10.1145/3485768.3485773.

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Bifari, Ezdihar N., and Lamiaa A. Elrefaei. "Automated Fingerprint Identification System based on weighted feature points matching algorithm." In 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2014. http://dx.doi.org/10.1109/icacci.2014.6968559.

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Reports on the topic "Automated Fingerprint Identification System"

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Ballou, Susan, Anthony Clay, Joi Dickerson, et al. Writing Guidelines for Requests for Proposals for Automated Fingerprint Identification Systems. National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.sp.1155.

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Ballou, Susan, Anthony Clay, Joi Dickerson, et al. Writing Guidelines to Develop a Memorandum of Understanding for Interoperable Automated Fingerprint Identification Systems. National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.sp.1156.

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Fuccillo, Nancy E. Prototype Automated Identification System for Parachutes. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada242945.

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Tappen, D. V., E. Hayder, and L. W. Mooney. BESTSRCH: An Automated System for Identification of GC/MS Peaks. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada418603.

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Trenkle, Allen H. Evaluation of Rumen Boluses as an Electronic Identification System for Cattle in an Automated Data Collection System. Iowa State University, 2006. http://dx.doi.org/10.31274/ans_air-180814-591.

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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l
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Larkin, Lance, Thomas Carlson, William D’Andrea, Andrew Johnson, and Natalie Myers. Network development and autonomous vehicles : a smart transportation testbed at Fort Carson : project report summary and recommendations. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45941.

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In this work, a smart transportation testbed was utilized at Fort Carson to demonstrate three use cases for the primary purpose to plan, develop, demonstrate, and employ autonomous vehicle technologies at military installations and within the surrounding communities to evaluate commercially available Connected and Automated Vehicles and the potential to reduce base operating costs, improve safety and quality of life for military service members and their families, and deliver services more efficiently and effectively. To meet this purpose, an automated vehicle shuttle, an unmanned aerial syste
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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genu
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Sadot, Einat, Christopher Staiger, and Zvi Kam Weizmann. functional genomic screen for new plant cytoskeletal proteins and the determination of their role in actin mediated functions and guard cells regulation. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7587725.bard.

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The original objectives of the approved proposal were: 1. To construct a YFP fused Arabidopsis cDNA library in a mammalian expression vector. 2. To infect the library into a host fibroblast cell line and to screen for new cytoskeletal associated proteins using an automated microscope. 3. Isolate the new genes. 4. Characterize their role in plants. The project was approved as a feasibility study to allow proof of concept that would entail building the YFP library and picking up a couple of positive clones using the fluorescent screen. We report here on the construction of the YFP library, the d
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Lehotay, Steven J., and Aviv Amirav. Fast, practical, and effective approach for the analysis of hazardous chemicals in the food supply. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7695587.bard.

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Background to the topic: For food safety and security reasons, hundreds of pesticides, veterinary drugs, and environmental pollutants should be monitored in the food supply, but current methods are too time-consuming, laborious, and expensive. As a result, only a tiny fraction of the food is tested for a limited number of contaminants. Original proposal objectives: Our main original goal was to develop fast, practical, and effective new approaches for the analysis of hazardous chemicals in the food supply. We proposed to extend the QuEChERS approach to more pesticides, veterinary drugs and pol
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