Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Curvilinear object segmentation is a paramount step for many applications ranging from
medical to aerial image processing. In particular, vessel segmentation in retinal images …

Face as a biometric attribute has been extensively studied over the past few decades. Even
though, satisfactory results are already achieved in controlled environments, the practicality …

Facial wrinkles are important features of aging human skin which can be incorporated in
several image-based applications related to aging. Facial wrinkles are 3D features of skin …

The focus has been changed to multi-biometrics due to the security demands. The ancillary
information extracted from primary biometric (face and body) traits such as facial …

The term soft biometrics typically refers to attributes of people such as their gender, the
shape of their head or the color of their hair. There is growing interest in soft biometrics as a …

Facial wrinkles (considered to be natural features) appear as people get older. Wrinkle
detection is an important aspect of applications that depend on facial skin changes, such as …

We propose a new model for wrinkle detection in human faces using a marked point
process. In order to detect an arbitrary shape of wrinkles, we represent them as a set of line …

Because of its many useful applications, human age estimation has been considered in
many previous studies as a soft biometrics. However, most existing methods of age …

Human skin segmentation is fundamental to a wide range of computer vision applications
ranging from face recognition, facial expression recognition and gesture analysis to various …