There has been a growing interest in automatic age and gender classification, as it has become relevant to an increasing amount of applications such as human-computer interaction, surveillance, biometrics, intelligent marketing and many more. Facial age and gender from the face image of a person is one such significant demographic attribute. In this paper, presents a review of automatic facial gender classification and age estimation framework in computer vision. While highlighting the challenges involved during classification of images captured under unconstrained conditions or may be the laborious process of gathering the face images for age estimation, as aging is the uncontrolled and slow process. A comprehensive survey for facial feature extraction methods and face databases for gender and age estimation studied in the past couple of decades is mentioned. Evaluation and result based performance achieved for various face images from different databases has been explained.

Abstract:MANET is a dynamically reconfigurable wireless network with no fixed infrastructure. Each node acts as a router and host and it moves in an arbitrary manner in many ad hoc networks. It is significant that an energy conscious routing strategy should be adopted to minimize the energy required for communication. In such an environment, each host acts as a router and forwards packets to the next hop in order to reach, hop by hop, the final target. The major requirement in the MANET is which are usually characterized by mobile nodes with limited battery, is to limit the energy consumption.So, in this paper we are going to do the effective routing with the on demand protocols. The proposed method will try to prove that RAODV is better protocol than AODV and DSR using Network Simulator. To meet the new challenges, innovative protocols are needed to achieve energy efficiency, flexible scalability and adaptability and good network performance. This paper seeks to study and analyze the on demand routing protocols with identical loads and environment conditions and also evaluate their relative performance with respect to performance metrics.

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