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biometric-identification
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A novel adaptive approach to fingerprint enhancement filter design
, Article Signal Processing: Image Communication ; Volume 17, Issue 10 , 2002 , Pages 849-855 ; 09235965 (ISSN) ; Kasaei, S ; Sharif University of Technology
2002
Abstract
A novel procedure for fingerprint enhancement filter design is described. Fingerprints are best used as unique and invariant identifiers of individuals. Identification of fingerprint images is based on matching the features obtained from a query image against those stored in a database. Poor quality of fingerprint images makes serious problems in the performance of subsequent matching process. The main contribution of this work is to quantify and justify the functional relationship between image features and filter parameters. In this work, the enhancement process is adapted to the input image characteristics to improve its efficiency. Experimental results show the superiority of the...
Intensity estimation of spontaneous facial action units based on their sparsity properties
, Article IEEE Transactions on Cybernetics ; Volume 46, Issue 3 , 2016 , Pages 817-826 ; 21682267 (ISSN) ; Fatemizadeh, E ; Mahoor, M. H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2016
Abstract
Automatic measurement of spontaneous facial action units (AUs) defined by the facial action coding system (FACS) is a challenging problem. The recent FACS user manual defines 33 AUs to describe different facial activities and expressions. In spontaneous facial expressions, a subset of AUs are often occurred or activated at a time. Given this fact that AUs occurred sparsely over time, we propose a novel method to detect the absence and presence of AUs and estimate their intensity levels via sparse representation (SR). We use the robust principal component analysis to decompose expression from facial identity and then estimate the intensity of multiple AUs jointly using a regression model...