Zeitschriftenartikel zum Thema „Biometrisk Data“
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Alam*, Varisha, und Dr Mohammad Arif. „Classification of Large Biometric Data in Database System“. International Journal of Innovative Technology and Exploring Engineering 10, Nr. 10 (30.08.2021): 1–8. http://dx.doi.org/10.35940/ijitee.d8592.08101021.
Chinyemba, Melissa K., und Jackson Phiri. „Gaps in the Management and Use of Biometric Data: A Case of Zambian Public and Private Institutions“. Zambia ICT Journal 2, Nr. 1 (29.06.2018): 35–43. http://dx.doi.org/10.33260/zictjournal.v2i1.49.
Rassolov, I. M., S. G. Chubukova und I. V. Mikurova. „Biometrics in the Context of Personal Data and Genetic Information: Legal Issues“. Lex Russica, Nr. 1 (01.01.2019): 108–18. http://dx.doi.org/10.17803/1729-5920.2019.146.1.108-118.
Bok, Jin Yeong, Kun Ha Suh und Eui Chul Lee. „Detecting Fake Finger-Vein Data Using Remote Photoplethysmography“. Electronics 8, Nr. 9 (11.09.2019): 1016. http://dx.doi.org/10.3390/electronics8091016.
S. Raju, A., und V. Udayashankara. „A Survey on Unimodal, Multimodal Biometrics and Its Fusion Techniques“. International Journal of Engineering & Technology 7, Nr. 4.36 (09.12.2018): 689. http://dx.doi.org/10.14419/ijet.v7i4.36.24224.
Vala, Mr Manish, Kajal Patel und Harsh Lad. „Multi Model Biometrics Data Retrieval Through: Big-Data“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31.10.2018): 1273–77. http://dx.doi.org/10.31142/ijtsrd15933.
Ivanov, Alexander, und Alexeiy Sulavko. „Draft of the Third National Standard of Russia for Fast Automatic Learning of Large Correlation Neural Networks on Small Training Samples of Biometric Data“. Voprosy kiberbezopasnosti, Nr. 3(43) (2021): 84–93. http://dx.doi.org/10.21681/2311-3456-2021-3-84-93.
Lakhera, Manmohan, und Manmohan Singh Rauthan. „Securing Stored Biometric Template Using Cryptographic Algorithm“. International Journal of Rough Sets and Data Analysis 5, Nr. 4 (Oktober 2018): 48–60. http://dx.doi.org/10.4018/ijrsda.2018100103.
Jovanovic, Bojan, Ivan Milenkovic, Marija Bogicevic-Sretenovic und Dejan Simic. „Extending identity management system with multimodal biometric authentication“. Computer Science and Information Systems 13, Nr. 2 (2016): 313–34. http://dx.doi.org/10.2298/csis141030003j.
Sridevi, T., P. Mallikarjuna Rao und P. V. Ramaraju. „Wireless sensor data mining for e-commerce applications“. Indonesian Journal of Electrical Engineering and Computer Science 14, Nr. 1 (25.12.2018): 462. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp462-470.
Singh, Bhanu, und Nirvisha Singh. „MoLaBSS: Server-Specific Add-On Biometric Security Layer Model to Enhance the Usage of Biometrics“. Information 11, Nr. 6 (08.06.2020): 308. http://dx.doi.org/10.3390/info11060308.
Nita, Stefania, Marius Mihailescu und Valentin Pau. „Security and Cryptographic Challenges for Authentication Based on Biometrics Data“. Cryptography 2, Nr. 4 (06.12.2018): 39. http://dx.doi.org/10.3390/cryptography2040039.
., Mulyawati Utami, Gede Saindra Santyadiputra, S. T. ,. M. Cs . und I. Gede Partha Sindu, S. Pd ,. M. Pd . „KORELASI PENERAPAN MESIN ABSENSI BIOMETRIK FACE RECOGNITION TERHADAP KEMUDAHAN MANAJEMEN DATA KEHADIRAN SERTA KEDISIPLINAN CIVITAS SMK N 2 SINGARAJA“. Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika (KARMAPATI) 6, Nr. 1 (02.03.2017): 234. http://dx.doi.org/10.23887/karmapati.v6i1.9701.
KHUWAJA, GULZAR A., und A. N. ABU-REZQ. „DATA ACQUISITION AND RECOGNITION OF FINGERPRINTS WITH LVQ“. International Journal of Computational Intelligence and Applications 03, Nr. 01 (März 2003): 65–88. http://dx.doi.org/10.1142/s1469026803000811.
Arunarani, S., und R. Gobinath. „A survey on multimodal biometrics for human authentication“. International Journal of Engineering & Technology 7, Nr. 3.3 (08.06.2018): 273. http://dx.doi.org/10.14419/ijet.v7i2.33.14167.
Fianyi, Israel, und Tanveer Zia. „Biometric Technology Solutions to Countering Today's Terrorism“. International Journal of Cyber Warfare and Terrorism 6, Nr. 4 (Oktober 2016): 28–40. http://dx.doi.org/10.4018/ijcwt.2016100103.
Channegowda, Arjun Benagatte, und H. N. Prakash. „Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learning techniques“. Indonesian Journal of Electrical Engineering and Computer Science 22, Nr. 1 (01.04.2021): 187. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp187-195.
KOPCZEWSKI, Marian, und Tomasz SMAL. „POSSIBILITIES FOR THE USE OF BIOMETRIC DATA IN SECURITY SYSTEMS“. Journal of Science of the Gen. Tadeusz Kosciuszko Military Academy of Land Forces 186, Nr. 4 (02.10.2017): 168–79. http://dx.doi.org/10.5604/01.3001.0010.7226.
NAZAR, AKIF, ISSA TRAORÉ und AHMED AWAD E. AHMED. „INVERSE BIOMETRICS FOR MOUSE DYNAMICS“. International Journal of Pattern Recognition and Artificial Intelligence 22, Nr. 03 (Mai 2008): 461–95. http://dx.doi.org/10.1142/s0218001408006363.
Musambo, Lubasi Kakwete, und Jackson Phiri. „A Framework for Civil Registration in Developing Countries Based on Biometrics and ISO Standards“. International Journal of ICT Research in Africa and the Middle East 8, Nr. 2 (Juli 2019): 32–74. http://dx.doi.org/10.4018/ijictrame.2019070103.
Jain, Anil K., und Arun Ross. „Bridging the gap: from biometrics to forensics“. Philosophical Transactions of the Royal Society B: Biological Sciences 370, Nr. 1674 (05.08.2015): 20140254. http://dx.doi.org/10.1098/rstb.2014.0254.
Dabas, Ashish, Ms Shalini Bhadola und Ms Kirti Bhatia. „Storage of Biometric Data in Database“. International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30.04.2019): 1001–4. http://dx.doi.org/10.31142/ijtsrd23146.
Leghari, Mehwish, Shahzad Memon, Lachman Das Dhomeja und Akhter Hussain Jalbani. „Analyzing the Effects of Data Augmentation on Single and Multimodal Biometrics“. Mehran University Research Journal of Engineering and Technology 39, Nr. 3 (01.07.2020): 647–56. http://dx.doi.org/10.22581/muet1982.2003.19.
Alam, Varisha. „Ordering of Huge Biometric Information in Database System“. Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, Nr. 2 (06.06.2021): 1–19. http://dx.doi.org/10.54060/jieee/002.02.011.
RODRIGUES, Paulo Canas, Luiz Ricardo NAKAMURA und Carlos Alberto de Bragança PEREIRA. „SPECIAL ISSUE ON BIOSTATISTICS AND BIOMETRY IN THE ERA OF DATA SCIENCE“. REVISTA BRASILEIRA DE BIOMETRIA 39, Nr. 1 (30.03.2021): 1–6. http://dx.doi.org/10.28951/rbb.v39i1.556.
Barzut, Srđan, Milan Milosavljević, Saša Adamović, Muzafer Saračević, Nemanja Maček und Milan Gnjatović. „A Novel Fingerprint Biometric Cryptosystem Based on Convolutional Neural Networks“. Mathematics 9, Nr. 7 (28.03.2021): 730. http://dx.doi.org/10.3390/math9070730.
Zaborska, Sylwia. „Regulacje prawne w zakresie ochrony danych biometrycznych na podstawie RODO“. Studia Iuridica Lublinensia 28, Nr. 2 (02.12.2019): 97. http://dx.doi.org/10.17951/sil.2019.28.2.97-106.
Kim, Min-Gu, Hae-Min Moon, Yongwha Chung und Sung Bum Pan. „A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System“. Journal of Biomedicine and Biotechnology 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/614146.
Albakri, Ghazel, und Sharifa Alghowinem. „The Effectiveness of Depth Data in Liveness Face Authentication Using 3D Sensor Cameras“. Sensors 19, Nr. 8 (24.04.2019): 1928. http://dx.doi.org/10.3390/s19081928.
Chai, Tong-Yuen, Bok-Min Goi, Yong-Haur Tay und and Zhe Jin. „A New Design for Alignment-Free Chaffed Cancelable Iris Key Binding Scheme“. Symmetry 11, Nr. 2 (01.02.2019): 164. http://dx.doi.org/10.3390/sym11020164.
Dantcheva, Antitza, Petros Elia und Arun Ross. „What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics“. IEEE Transactions on Information Forensics and Security 11, Nr. 3 (März 2016): 441–67. http://dx.doi.org/10.1109/tifs.2015.2480381.
Bourcha, Crystalie, Maria Louiza Deftou und AnthiKoskina no. „Data mining of biometric data: revisiting the concept of private life?“ IUS ET SCIENTIA 3, Nr. 2 (2017): 37–62. http://dx.doi.org/10.12795/ietscientia.2017.i02.04.
Kulikov, A. A. „Application of biometric systems in face identification technologies“. Russian Technological Journal 9, Nr. 3 (28.06.2021): 7–14. http://dx.doi.org/10.32362/2500-316x-2021-9-3-7-14.
Damaševičius, Robertas, Rytis Maskeliūnas, Egidijus Kazanavičius und Marcin Woźniak. „Combining Cryptography with EEG Biometrics“. Computational Intelligence and Neuroscience 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/1867548.
Szűcs, Kata Rebeka, Arnold Őszi und Tibor Kovács. „Mobile Biometrics and their Risks“. Hadmérnök 15, Nr. 4 (2020): 15–28. http://dx.doi.org/10.32567/hm.2020.4.2.
Paul, Padma P., und Marina L. Gavrilova. „A Novel Cross Folding Algorithm for Multimodal Cancelable Biometrics“. International Journal of Software Science and Computational Intelligence 4, Nr. 3 (Juli 2012): 20–37. http://dx.doi.org/10.4018/jssci.2012070102.
Kim, Hanvit, Haena Kim, Se Chun, Jae-Hwan Kang, Ian Oakley, Youryang Lee, Jun Ryu et al. „A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors“. Sensors 18, Nr. 8 (20.08.2018): 2738. http://dx.doi.org/10.3390/s18082738.
Omar, Bayan. „Fusion Method with Mean-discrete Algorithm in Feature level for Identical twins Identification“. UHD Journal of Science and Technology 4, Nr. 2 (27.12.2020): 141. http://dx.doi.org/10.21928/uhdjst.v4n2y2020.pp141-150.
Madianou, Mirca. „The Biometric Assemblage: Surveillance, Experimentation, Profit, and the Measuring of Refugee Bodies“. Television & New Media 20, Nr. 6 (02.07.2019): 581–99. http://dx.doi.org/10.1177/1527476419857682.
Fairhurst, Michael, Cheng Li und Márjory Da Costa‐Abreu. „Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data“. IET Biometrics 6, Nr. 6 (13.07.2017): 369–78. http://dx.doi.org/10.1049/iet-bmt.2016.0169.
S. Jahromi, Mohammad N., Pau Buch-Cardona, Egils Avots, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund und Gholamreza Anbarjafari. „Privacy-Constrained Biometric System for Non-Cooperative Users“. Entropy 21, Nr. 11 (24.10.2019): 1033. http://dx.doi.org/10.3390/e21111033.
Yang, Wencheng, Jiankun Hu, Song Wang und Qianhong Wu. „Biometrics Based Privacy-Preserving Authentication and Mobile Template Protection“. Wireless Communications and Mobile Computing 2018 (12.06.2018): 1–17. http://dx.doi.org/10.1155/2018/7107295.
Farmanullah Jan, Farmanullah Jan, Imran Usman Imran Usman und Shahid A. Khan Shahid A. Khan. „Robust iris biometric system for visible wavelength data“. Chinese Optics Letters 11, Nr. 8 (2013): 081501–81507. http://dx.doi.org/10.3788/col201311.081501.
Chiou, Shin-Yan. „Secure Method for Biometric-Based Recognition with Integrated Cryptographic Functions“. BioMed Research International 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/623815.
McAteer, Ian, Ahmed Ibrahim, Guanglou Zheng, Wencheng Yang und Craig Valli. „Integration of Biometrics and Steganography: A Comprehensive Review“. Technologies 7, Nr. 2 (08.04.2019): 34. http://dx.doi.org/10.3390/technologies7020034.
Mitchell, Alison. „Distinguishing Friend from Foe: Law and Policy in the Age of Battlefield Biometrics“. Canadian Yearbook of international Law/Annuaire canadien de droit international 50 (2013): 289–330. http://dx.doi.org/10.1017/s0069005800010869.
Arunachalamand, MuthuKumar, und Kavipriya Amuthan. „Finger Knuckle Print Recognition using MMDA with Fuzzy Vault“. International Arab Journal of Information Technology 17, Nr. 4 (01.07.2020): 554–61. http://dx.doi.org/10.34028/iajit/17/4/14.
Alhussain, Thamer, und Steve Drew. „Employees' Perceptions of Biometric Technology Adoption in E-Government“. International Journal of E-Adoption 2, Nr. 1 (Januar 2010): 59–71. http://dx.doi.org/10.4018/jea.2010010105.
Seo, Minhye, Jong Hwan Park, Youngsam Kim, Sangrae Cho, Dong Hoon Lee und Jung Yeon Hwang. „Construction of a New Biometric-Based Key Derivation Function and Its Application“. Security and Communication Networks 2018 (02.12.2018): 1–14. http://dx.doi.org/10.1155/2018/6107912.
Wang, Yazhou, Bing Li, Yan Zhang, Jiaxin Wu und Qianya Ma. „A Secure Biometric Key Generation Mechanism via Deep Learning and Its Application“. Applied Sciences 11, Nr. 18 (13.09.2021): 8497. http://dx.doi.org/10.3390/app11188497.