x !
Arkistoitu opetusohjelma 2012–2013
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
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
Tietojenkäsittelytieteiden tutkinto-ohjelma
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