Title:

Biometric Systems

Code:BIO
Ac.Year:2019/2020
Sem:Winter
Curriculums:
ProgrammeField/
Specialization
YearDuty
IT-MSC-2MBI1stCompulsory
IT-MSC-2MBS2ndCompulsory
IT-MSC-2MGM-Elective
IT-MSC-2MIN-Compulsory-Elective - group I
IT-MSC-2MIS-Elective
IT-MSC-2MMI-Elective
IT-MSC-2MMM-Elective
IT-MSC-2MPV-Elective
IT-MSC-2MSK-Elective
MITAINADE-Elective
MITAINBIO-Elective
MITAINCPS-Elective
MITAINEMB-Elective
MITAINGRI-Elective
MITAINHPC-Elective
MITAINIDE-Elective
MITAINISD-Elective
MITAINISY-Elective
MITAINMAL-Elective
MITAINMAT-Elective
MITAINNET-Elective
MITAINSEC-Compulsory
MITAINSEN-Elective
MITAINSPE-Elective
MITAINVER-Elective
MITAINVIZ-Elective
Language of Instruction:Czech
Private info:http://www.fit.vutbr.cz/study/courses/BIO/private/
Credits:5
Completion:credit+exam (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:390607
 ExamsTestsExercisesLaboratoriesOther
Points:551512018
Guarantor:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS)
Deputy guarantor:Kanich Ondřej, Ing., Ph.D. (DITS)
Lecturer:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS)
Instructor:Dvořák Michal, Ing. (DITS)
Goldmann Tomáš, Ing. (DITS)
Heidari Mona (DITS)
Kanich Ondřej, Ing., Ph.D. (DITS)
Pernický Radim, Ing. (DITS)
Sakin Martin, Ing. (DITS)
Semerád Lukáš, Ing. (DITS)
Tinka Jan, Ing. (DITS)
Faculty:Faculty of Information Technology BUT
Department:Department of Intelligent Systems FIT BUT
Schedule:
DayLessonWeekRoomStartEndLect.Gr.Groups
FrilecturelecturesG202 08:0010:501MIT 2MIT MBI - MBS
 
Learning objectives:
  To learn the actual biometric technologies (fingerprint, eye retina, eye iris, DNA etc.) and their application in the IT and in the security systems. To learn methods for evaluation of the reliability and quality of the biometric systems, including biometric standards.
Description:
  Theory of the signal processing, especially image signal processing, for the purposes of the biometry. Introduction of the basic methods and techniques of the static single biometric features: fingerprint, hand geometry, face and its thermogram, iris, retina, handwriting. Recognition using the dynamic features: lip movements, typing or gait. Standards in the biometry. Applications of the biometry.
Knowledge and skills required for the course:
  
  • Student should be familiar with the basics of the 1- and 2-dimensional signal processing.
  • Valid schooling of Edict No. 50 (work with electrical devices) is needed.
Learning outcomes and competencies:
  Theory of the signal processing, functionality of different biometric technologies and of their importance in the IT security, including systems for the police purposes. Knowledge of the methods of the biometric systems evaluation.
Why is the course taught:
  Students will become familiar with biometrics systems during the course. This modern way of security is getting into everyday life. Whether in the form of biometric passports or access systems.
Syllabus of lectures:
 
  1. Introduction to the biometric systems
  2. Theory of the sound and image signal processing
  3. Evaluation of the reliability and quality of the biometric systems
  4. Fingerprint recognition
  5. Liveness detection on fingers
  6. Hand geometry, veins and nail recognition
  7. Face and face thermogram recognition
  8. Iris and retina recognition
  9. Handwriting and signature recognition
  10. Dynamic biometric characteristics
  11. DNA and its application in the biometry
  12. Biometric standards
  13. Biometric systems of the future
Syllabus of laboratory exercises:
 
  1. Fingerprint recognition, dactyloscopy, work with sensors, spoofing, liveness detection
  2. Eye retina and eye iris, 3D face model
  3. Signature and its spoofing, 2D and 3D hand geometry, recognition of hand veins, thermograms of face and hand
Syllabus - others, projects and individual work of students:
 Exact specification will be published within the semester. It will be possible to choose from the following categories:
  • Fingerprint recognition
  • Liveness detection
  • Hand geometry, veins and nail recognition
  • Face and face thermogram recognition
  • Iris and retina recognition
  • Handwriting and signature recognition
  • Dynamic biometrical characteristics
  • DNA and its application in the biometry
  • Biometrical standards
Fundamental literature:
 
  • Ashbourn, J.: Practical Biometrics - From Aspiration to Implementation, Springer Verlag, 2004, ISBN 1-85233-774-5.
  • Bhanu, B., Tan, X.: Computational Algorithms for Fingerprint Recognition, Kluwer Academic Publishers, USA, 2004, ISBN 1-4020-7651-7
  • Bolle, R.M., Connell, J.H., Pankanti, S., Ratha, N.K., Senior, A.W.: Guide to Biometrics, Springer Verlag, 2004, ISBN 0-387-40089-3
  • Chirillo, J., Blaul, S.: Implementing Biometric Security, Wiley Publishing, 2003, ISBN 0-7645-2502-6
  • Drahanský, M.: Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018. ISBN 978-1-78561-224-4
  • Drahanský, M., Orság, F., Doležel, M. a kol.: Biometrie, Brno, CZ, Computer Press, 2011, ISBN 978-80-254-8979-6 (in Czech)
  • Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, Springer, New York, 2003, ISBN 0-387-95431-7
  • Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7
  • Woodward, J.D., Orlans, N.M., Higgins, P.T.: Biometrics - Identity Assurance in the Information Age, McGraw-Hill Osborne Media, 2002, ISBN 007-222227-1
Study literature:
 
  • Drahanský, M.: Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018. ISBN 978-1-78561-224-4 (available in FIT library)
  • Drahanský, M., Orság, F. a kol.: Biometrie, Computer Press, 2011, ISBN 978-80-254-8979-6 (in Czech, available in FIT library).
  • Ashbourn, J.: Practical Biometrics - From Aspiration to Implementation, Springer Verlag, 2004, ISBN 1-85233-774-5.
  • Bolle, R.M., Connell, J.H., Pankanti, S., Ratha, N.K., Senior, A.W.: Guide to Biometrics, Springer Verlag, 2004, ISBN 0-387-40089-3.
  • Chetty, G., Yang, J.: Advanced Biometric Technologies, InTech, 2011, p. 394, ISBN 978-953-307-487-0.
  • Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7.
  • Yang, J.: Biometrics, InTech, 2011, p. 278, ISBN 978-953-307-618-8.
  • Yang, J., Nanni, L.: State of the Art in Biometrics, InTech, 2011, p. 326, ISBN 978-953-307-489-4.
Controlled instruction:
  Mid-term exam, presence in the laboratory practice, projects and final exam are monitored and given points for. There is no way to obtain the points for the mid-term exam, project after the deadline and laboratory practice additionally. Final exam has two additional correction possibilities.
Progress assessment:
  
  1. Mid-term written test.
  2. Attending of the laboratory seminars.
  3. Project.
Exam prerequisites:
  Student must gain at least 15 points during the term and at the same time at least 3 points student must get for project.
 

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