Low Resolution Face Recognition Techniques: A Survey

Face recognition is getting popularity with the time and it is one of the most important topics in the research. It has so many applications in research field and it also received importance in the practical or real world application in the past few years. The first is the wide range of use in the video surveillance and security applications. Face recognition demand is increasing greatly in video surveillance network and the second is the demand of this topic is still great after so many years.. Image and face recognition and Image processing is popularized in apps and on websites; it helps in making life so easier and comfortable for all of us. It is changing the way we use and interact with technology. Its application in the mostly used social networking site for ex. IT is used in automatic tag suggestion feature in Face book. Face recognition reduce time in people tagging. As we know everything have some pros and cons same thing is also applied in the case of face recognition. It also has some limitation in real world application. It is brought about by appearance changes, for example, brightening, commotion, debasement, and impediment". But now in face recognition based on very low resolution is in demand. Limitation of research on this topic is due to many factors which is caused due to environmental changes and recording of devices from distance. Still so many years it is not reachable to the potential of human recognition system. This paper covers the detailed overview or timely survey on the low resolution based on face recognition. There are two main reason behind the drafting of this paper are : one of the reason is to provide an overview on the recently done research over this topic, and the second is to deliver the importance of this research topic in the machine learning over the very low resolution. To provide the brief survey on this topic, we classify the existing recognition techniques with the detailed descriptions of illustrative approach and it covers all category. In addition, "pertinent points, for example, psychophysical ponders, framework assessment, and issues of brightening" and different poses under the different condition is covered.