Face recognition improvement using soft biometrics

In this work we are interested in soft facial biometrics, a new field that aims at strengthening the performance of primary biometric systems based on traditional ways of biological type (DNA, saliva), morphological (face, iris, fingerprint) or behavioral (signature, handwriting, voice). We propose...

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Bibliographic Details
Main Authors: El Kissi Ghalleb, Asma, Sghaier, Souhir, Ben Amara, Najoua Essoukri
Format: Conference Proceeding
Language:English
Subjects:
Biometrics
Biometrics (access control)
Color
Face
fusion of the primary system with the soft one
Hair
Image color analysis
Mouth
primary biometric system
Skin
soft biometric system
Online Access:Request full text
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Summary:In this work we are interested in soft facial biometrics, a new field that aims at strengthening the performance of primary biometric systems based on traditional ways of biological type (DNA, saliva), morphological (face, iris, fingerprint) or behavioral (signature, handwriting, voice). We propose three types of facial soft biometrics: facial measurements, skin color and hair color. The results show that the fusion of these modalities with the primary face recognition system based on wavelet characterization and SVM training has increased the recognition rate and has decreased the equal error rate.
DOI:10.1109/SSD.2013.6564044