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Multiple Biometric Grand Challenge

Known as: MBGC, Multiple Biometric Grand Challenge (MBGC) 
Multiple Biometric Grand Challenge (MBGC) is a biometric project.
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Biometrics

Papers overview

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2016
2016
Quality dependent multimodal fusion of face and iris biometrics
Although iris is known as the most accurate and face as the most accepted in biometrics, these distinct modalities encounter… 
2015
2015
Which dataset is this iris image from?
The performance of a biometric recognition algorithm is often evaluated by testing it on standard datasets. This process, known… 
2014
2014
Periocular recognition based on Gabor and Parzen PNN
Recently periocular biometrics has drawn lot of attention of researchers and some efforts have been presented in the literature… 
2014
2014
Robust periocular biometrics based on Local Phase Quantisation and Gabor transform
In this paper, we propose a novel and robust approach for periocular recognition. Specifically, we propose fusion of Local Phase… 
2014
2014
Optimization of Iris Codes for Improved Recognition
The texture of the iris is commonly represented as an iris code in iris recognition systems. While several approaches have been… 
2014
2014
A novel eyebrow segmentation and eyebrow shape-based identification
Recent studies in biometrics have shown that the periocular region of the face is sufficiently discriminative for robust… 
2013
2013
A compact discriminative representation for efficient image-set classification with application to biometric recognition
We present a simple yet compact and discriminative representation for image sets which can efficiently be used for image-set… 
2010
2010
Fast and efficient iris image enhancement using logarithmic image processing
Low quality iris images such as blurry, low resolution images with poor illumination create a challenge for iris recognition… 
2009
2009
Improvements in Video-based Automated System for Iris Recognition (VASIR)
Video-based Automated System for Iris Recognition (VASIR) performs two-eye detection, best quality image selection by adapting… 
Highly Cited
2009
Highly Cited
2009
Transforming Traditional Iris Recognition Systems to Work in Nonideal Situations
Under a nonideal situation, the image quality may vary. As a result, the traditional iris recognition systems would not work well… 
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