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Optimized Attendance System Using Face Recognition
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The purpose of this paper is to look into a new and improved method for marking the attendance of students gathering the attendance in the traditional way is accomplished by the expenditure of a sizeable amount of time and effort on the part of the teacher or administrator in charge. Apart from a roll call or passing around an attendance sheet, other methods of attendance gathering, like iris scanning, fingerprint recognition and other biometric based systems have been developed. However, these systems are costly to deploy and maintain on a large scale. To counter these disadvantages, a system based on another parameter like facial recognition can be used, involving phases such as face detection, face cropping, image resizing, image normalization, image de-noising along with feature extraction. Finally features from processed image will be given as a training data to the learning model and further classified as the means to mark attendance. To this end, the algorithms such as the Viola Jones object detection algorithm can be utilized in obtaining the intended results. In addition, this system will also solve the problem of maintaining manual records of the rising number of students in universities.
Keywords
Classifier, Face Cropping, Face Detection, Feature Extraction, Image De-noising, Image Normalization, Image Resizing, Machine Learning, Viola Jones.
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