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Archived teaching schedules 2012–2013
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TIETS34 Seminar "Data Mining on Biometric identification" 3 ECTS
Period I Period II Period II Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
Computer Science
School of Information Sciences

Learning outcomes

After completion of this seminar, a student is expected to be able to:
- know popular biometric data types for identification.
- understand definition of data mining and the whole procedure.
- know some main methods of pattern classification.
- be able to evaluate the effect of identification methods and result.

General description

Contents of the seminar:

Biometric data sources: fingerprints, face and iris images. Data Preprocessing, data mining which includes analysis, classification and clustering, data evaluation and interpretation. Simple classification methods: K-NN, Linear discriminate, naive Bayes rule etc. Four Rates (TPR, FNR, TNR and FNR) and Equal error rate in biometric statistic.


Youming Zhang, Teacher responsible

Homepage URL


28-Jan-2013 –
Two introductions in end of January and seminar meetings
Mon 28-Jan-2013 at 14-16, PInni B0016
Thu 31-Jan-2013 at 14-16, Pinni B0016
Thu 28-Feb-2013 - 14-Mar-2013 weekly at 14-16, Pinni B1084
Thu 21-Mar-2013 at 14-16, Pinni B2077
Thu 4-Apr-2013 - 18-Apr-2013 weekly at 14-16, Pinni B2077



Further information

Modes of Study:  Compulsorily attending seminar sessions and individual or group presentation.

This seminar is accepted as advanced studies in