• M. Padma Priya
• Ananthakrishnan k s
• Kallivettu Ganesh
• Ramsaireddysomavarapu

This paper describes the machine learning approach for face recognition which is capable of processing images efficiently and quickly achieving high detection rates. The project is described in three stage stages of processing. The first is the introduction of new images to the machine which is called the “Integral image”, which helps the detection program to detect images quickly and efficiently. The second stage is where the captured images are made learn using the algorithm, based on Ada boost which uses and selects the visual classifiers from the data’s and yields efficient classifier. The third stage is where the image classifiers are made effective as “cascade” which helps to remove the background images which are not required .The Eigen face algorithm detects and remove unwanted pixels from the image using the HAAR method of classification. In this domain of facial recognition which provides effective detection and comparison rates than other strategies for attendance marking .The project is implemented using the raspberry-pi and their respective camera module components of raspberry-pi, which has a frame rate of fifteen frames per second.

"Automated Attendance Marking Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.6-9, June 2019, Available :http://www.jetir.org/papers/JETIRDF06002.pdf

"Automated Attendance Marking Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp6-9, June 2019, Available at : http://www.jetir.org/papers/JETIRDF06002.pdf