Estimation of stature is considered as an important parameter in medico-legal and forensic examinations. When highly decomposed and mutilated dead bodies with fragmentary remains are brought for postmortem examination, it becomes difficult to identify the deceased. Sometimes, cephalo-facial remains are brought in for forensic and postmortem examination. In such a situation, estimation of statur...

Face Recognition is a widely used research area that being carried out by researchers in order to use it different areas. The reason its sole importance number of applications like face detection crime scenes the videos CCTV cameras, biometrics, authentication customer relationship etc. A problem arises recognition because complex features wrinkles, facial expressions, aging, person sometimes n...

Neural networks; Neurons; Gene Expression Programing; Chromosomes; Age estimation Abstract This work is about estimating human age automatically through analysis of facial images. It has got a lot of real-world applications. Due to prompt advances in the fields of machine vision, facial image processing, and computer graphics, automatic age estimation via faces in computer is one of the dominan...

In real life, when telling a person’s age from his/her face, we tend to look at his/her whole face first and then focus on certain important regions like eyes. After that we will focus on each particular facial feature individually like the nose or the mouth so that we can decide the age of the person. Similarly, in this paper, we propose a new framework for age estimation, which is based on hu...

In this paper, a new age-group estimation method is proposed based on fuzzy inference system. Using this method, the facial images could be classified in four groups with more accuracy for classification of marginal ages. The proposed algorithm is divided into 3 stages. At first stage, the images are preprocessed. Then, the image features are extracted using histograms of oriented gradients (HO...

Over the recent years, a great deal of effort has been made to age estimation from face images. It has been reported that age can be accurately estimated under controlled environment such as frontal faces, no expression, and static lighting conditions. However, it is not straightforward to achieve the same accuracy level in real-world environment because of considerable variations in camera set...

Abstract—Human faces, as important visual signals, express a significant amount of nonverbal info for usage in human-to-human communication. Age, specifically, is more significant among these properties. Human age estimation using facial image analysis as an automated method which has numerous potential real‐world applications. In this paper, an automated age estimation framework is presented. ...

Convolutional neural network (CNN), one of the most commonly used deep learning methods, has been applied to various computer vision and pattern recognition tasks, and has achieved state-of-the-art performance. Most recent research work on CNN focuses on the innovations of the structure. This thesis explores both the innovation of structure and final label encoding of CNN. To evaluate the perfo...