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 You can try how biometric facial identification works.   

Biometric facial identification is based on the uniqueness of human physical characteristics. A person can be identified with the aid of a finger print, the face, voice or iris of the eye. Facial identification is based on the form of the face as well as the size and location of the eyes and mouth. 

Heureka’s facial identification consists of two separate exhibits. First, the visitor should save his/her facial identification in the system. After that, the visitor can find out whether the system recognises him/her. The system will present the probability percent of recognition as well as two faces similar to the visitor’s identification. The similar faces give reason to ponder, which features the system tends to recognise.

Heureka’s facial identification system might not recognise you each time because of changes in the position of your face, lighting, your glasses or other distractions. More importantly, the system will not take you for another person. This is an important factor in all biometric systems.

Biometric identification can be carried out automatically, and thus a large amount of people can be identified quickly for example at airports. All systems are equipped with certain limiting values that must be exceeded in order to receive a probable enough recognition.

The facial identifications and pictures that are saved in Heureka’s system are not being used anywhere else. They are destroyed on a daily basis.

Finland introduced biometric passports in August 2006. 

Realisation of the programme:
Sami Laakso


Qualities of biometric identification

Method Universal applicability Uniqueness Stability Easiness Performance
Face ●●● ● ●● ●●● ●●●
Finger print ●● ●●● ●●● ●● ●
Iris ●●● ●●● ●●● ●● ●
Voice ●● ● ● ●● ●●●
DNA ●●● ●●● ●●● ● ●
Signature ● ● ● ●● ●●●
Scent ●●● ●●● ●●● ● ●●●
Thermography of the face ●●● ●●● ● ●●● ●●
Shape of the palm ●● ●● ●● ●●● ●●●
Tapping ● ● ● ●● ●●●
Veins in the hand ●● ●● ●● ●● ●●
Retina ●●● ●●● ●● ● ●
Walking style ●● ● ● ●●● ●●●
Earlobe ●● ●● ●●● ●● ●●
Source: Anil K. Jain, Introduction to Biometrics, Kluwer Academic Publishers, 1999                                                             

●= faint                                                                                                                                                              

●●= medium                                                                                                                                                      

●●●= probable            


Updated 7.1.2007/KT