A biometrical data quality analysis method to reliably evaluate the efficiency of recognition algorithms and systems

Authors:
V. V. Lobantsov;I. A. Matveev;A. B. Murynin
Affiliations:
Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia 119333;Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia 119333;Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia 119333
Venue:
Pattern Recognition and Image Analysis
Year:
2012

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Abstract

Development of biometric human identification algorithms and systems is reviewed. A crisis that prevents them from being used in large computing systems is demonstrated. Comprehensive reliable tests are considered as a way to overcome the crisis. Ways to take into account the influence various factors may have on the reliability of evaluating the practical efficiency of remote human identification algorithms and systems are addressed. A method to determine and calculate quantitative quality criteria of multimodal biometric data is proposed; the possibility of extrapolating the results of testing biometric algorithms to practical application is discussed. Quality functions and the artificiality of biometric data given as the measure of proximity to biometric data registered from an unaware recognition subject are studied.