Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

Similar to a fingerprint search system, face recognition technology can assist law
enforcement agencies in identifying suspects or finding missing persons. Face recognition …

In this paper, the classification via sprepresentation and multitask learning is presented for
target recognition in SAR image. To capture the characteristics of SAR image, a …

Classifying texture images, especially those with significant rotation, illumination, scale, and
viewpoint changes, is a fundamental and challenging problem in computer vision. This …

Oral mucosal lesions (OML) and oral potentially malignant disorders (OPMDs) have been
identified as having the potential to transform into oral squamous cell carcinoma (OSCC) …

In this paper, a novel local pattern descriptor generated by the proposed local vector pattern
(LVP) in high-order derivative space is presented for use in face recognition. Based on the …

Facial expression recognition is an active research area for which the research community
has presented a number of approaches due to its diverse applicability in different real-world …

This paper introduces a novel classification strategy based on the monogenic scale space
for target recognition in Synthetic Aperture Radar (SAR) image. The proposed method …

In this letter, the classification via sparse representation of the monogenic signal is
presented for target recognition in SAR images. To characterize SAR images, which have …

Great progress has been achieved in face recognition in the last three decades. However, it
is still challenging to characterize the identity related features in face images. This paper …