This work draws attention to the large fraction of near-duplicates in th...
When using vision-based approaches to classify individual parking spaces...
Information from an image occurs over multiple and distinct spatial scal...
Recently, ocular biometrics in unconstrained environments using images
o...
This paper describes a classifier pool generation method guided by the
d...
Over the last decades, most approaches proposed for handwritten digit st...
Usually, in a real-world scenario, few signature samples are available t...
Movie genre classification is a challenging task that has increasingly
a...
Automatic plant classification is a challenging problem due to the wide
...
The writing can be used as an important biometric modality which allows ...
The use of the iris and periocular region as biometric traits has been
e...
One of the major challenges in ocular biometrics is the cross-spectral
s...
This paper shows the susceptibility of spectrogram-based audio classifie...
This paper proposes a face anti-spoofing user-centered model (FAS-UCM). ...
This paper presents a novel approach for image retrieval and pattern spo...
Facial expression recognition is a major problem in the domain of artifi...
In this paper, the concept of representation learning based on deep neur...
The iris can be considered as one of the most important biometric traits...
The use of iris as a biometric trait is widely used because of its high ...
Due to the world's demand for security systems, biometrics can be seen a...
Due to the world's demand for security systems, biometrics can be seen a...
This paper presents two novel approaches for people counting in crowded ...
The Ensemble of Classifiers (EoC) has been shown to be effective in impr...