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Abstract-Student attendance in a classroom is a time consuming task when done manually. Face recognition is a biometric powerful tool to authenticate a person. The other biometric attendance methods waste time as the students have to make a queue to touch their thumb on the scanning device. So, automated attendance system using face recognition is the efficient one for student attendance. Image acquisition, face detection and face recognition are the three parts of this system. The issue of fake attendance and proxies can be solved by using this system. This paper gives an overview of some known methods used to implement this system and also the benefits and drawbacks of it. This paper also proposes an efficient method by which we can implement such a system with high accuracy.Keywords-Student attendance, biometric, automated attendance system, face detection, face recognition I. INTRODUCTIONIn every foundations, maintaining the attendance is essential for checking the performance of students. When there are so many students in an institution, it will become more and more difficult to mark attendance for each student. And it is time consuming too. Traditional method of attendance marking is the manual attendance system in which the attendance are recorded and maintained manually. This system faces the issue of wastage of time and also becomes complicated when the strength is more. And can be easily manipulated. Whenever we have to measure the performance of students, finding and calculating the average of the attendance of each enrolled student is also a complicated task. Therefore we are in need of an automated system for marking and maintaining attendance. So that we can maintain a valid and correct record of attendance easily.Automation of attendance system offer some benefits to the faculty by lessening the administrative burden of the staff. This system saves time and is also used for security purpose. By using this system, we can prevent fake attendance and proxies. Skipping classes without the staff's knowledge will become difficult for students by introducing this system. Many attendance management system are introduced to market such as RFID system, punch card systems, swipe card systems, biometric systems that include fingerprint analysis, iris analysis etc. But these all are not always applicable for the students in an institute, college or university. Therefore we are in need of a system that would mark attendance without any human intervention. So, we shall implement an effective system which will mark the attendance of the students automatically by recognizing their faces, i.e. automated attendance system using face recognition.An automated Attendance System using face recognition generally consists of Image Acquisition, Database development, Face detection, Pre-processing, Feature extraction, and Classification stages followed by Post-processing stage [4]. At first, the face images of the each student should be fed to the system and saved in the database. Then the attendance of students is recorde...

Saliency detection is defined to be a key attention mechanism by enabling organisms to focus their limited perceptual and cognitive resources of available sensory data. In short, saliency detection is nothing but detecting the more attracted regions in an image. Like a loud noise in a quite environment saliency is the contras-tic difference between the visually attracted items and their neighborhood. Detecting those attracted areas in the image is termed to be saliency detection. We proposed a novel salient region detection method by integrating four features namely boundary information, frequency weight map, global contrast and color spatial variance. Finally, the saliency map is defined as being the average of the three feature maps added by color spatial variance. Experimental result shows that the proposed method produce better performance compared to the state-of-the-art of methods. The programming and simulation of the processes as well as the analysis of the results were done using MATLAB.