Biometrics
2009-2010 - IMT6071 - 5 ECTS

On the basis of

The course content will be complementary to the course "Authentication".

Expected learning outcomes

After the course, the students should have the capabilities to

- demonstrate a systematic understanding of biometric systems and react on disadvantages with appropriate technical and organizational measurers

- apply the skills of modality specific feature extraction techniques

- apply statistical tools for biometric and conduct performance evaluation

- apply multimodal analysis and solve the score normalization challenge in fusion systems

- analyze threats for biometric reference data, categorize them and implement protection techniques accordingly

- assess the appropriate position of a biometric component in a security system

Furthermore the students should have the competence to

- demonstrate the ability to design a biometric system suitable for a give scenario

- judge the relevance of ethical and privacy issues

- investigate for a given scenario technical solutions and evaluate them in a critical analysis. Synthesize new ideas during evaluation phase.

- can communicate with peers in the biometric community in terms of reviewing research topics

- manage team work

Topic(s)

• Fingerprint recognition

• Vein recognition

• Face recognition specifically focused on three dimensional data

• Iris recognition

• Multimodal biometrics

• Score Normalization

• Attack mechanisms

• Privacy Enhancing Technologies

• Revocable biometric references

Teaching Methods

Lectures
Exercises

Form(s) of Assessment

Written exam, 3 hours

Form(s) of Assessment (additional text)

Written examination in English

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Evaluated by the lecturer.

Re-sit examination

The whole course must be repeated.

Examination support

Dictionaries allowed

Coursework Requirements

Students must provide a research report (term paper) on a topic that is chosen by the student in coordination with the lecturer

Teaching Materials

[1] LI , S . Z. , AND JAIN, A. K. , Eds. Handbook of Face Recognition. Springer-Verlag,

Heidelberg, Germany, 2005.

[2] MALTONI , D. , MAIO, D. , JAIN, A. K. , AND PRABHAKAR , S . Handbook of Fingerprint Recognition. Springer-Verlag, Heidelberg, Germany, 2005.

[3] WAYMAN, J . , JAIN, A. , MALTONI , D. , AND MAI O, D. , Biometric Systems.

Springer-Verlag, Heidelberg, Germany, 2004.

[4] JAIN, L.C. , HALICI, U. , HAYASHI, I. ; LEE, S.B., TSUTSUI, S. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC PressVerlag, 1999.

[5] TUYLS, P., SKROIC, B., KEVENAAR, T. Security with Noisy Data. Springer-Verlag, 2007