In the clinical research, three-dimensional/volumetric anatomical structure of the human
body is very significant for diagnosis, computer-aided surgery, surgical planning, patient …

The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …

In this paper, we introduce a large scale dataset, called HKR, to address challenging
detection and recognition problems of handwritten Russian and Kazakh text in the scanned …

The classification of different age groups, such as adult and child, based on handwriting is
very important due to its various applications in many different fields. In forensics …

The human upper airway is comprised of many anatomical volumes. The obstructions in the
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …

Gender detection from handwritten documents is a crucial research area in many disciplines
such as psychology, pyelography, graphology, and forensic analysis. Furthermore, this task …

This work focuses on automatic gender and age prediction tasks from handwritten
documents. This problem is of interest in a variety of fields, such as historical document …

Handwriting recognition is widely acknowledged as one of the most challenging tasks in
pattern recognition and machine learning. This study explores the intriguing field of age …

Biometrics encloses the science of measuring human body characteristics and authorizing
the user based on biometric modalities. Physiological and behavioural biometrics identifiers …

The classification of gender from handwriting is a challenging issue that have great attention
recently. Most of the exiting works were conducted on gender classification using face image …