• Meena Adhane
• Rutuja Bansude
• Radha Jadhav
• Vaidehi Kapadnis

Now a days face detection and authentication is very useful and has very wide applications .So in every field like Security- companies are using facial recognition to secure their premises.Access Control- facial recognition can be used in the home to grant access to certain IoT devices in addition to entry into the home itself.Authentication- Unlock phones.Find missing persons.Identify people in social media –Social media sites such as Facebook use the technology to identify and tag people in photos etc. There are different types of attendance systems like Biometric-based, Radiofrequency card based, face recognition based and old paper-based attendance system. From all of them a Face recognition based attendance system is more secure and time-saving ,much effective .The algorithms Haar cascade and LBPH are also more effective to capture the face .the process include first face detection and then preprocessing that images,after that feature extraction,extracting features which are more relevant and important ,and exclude the unimportant feature which results in fast processing.then the last process is the classification,where the images capture at that moment is get compared with the database trained model.

Haar cascade, Preprocessing, Feature Extraction.

"Face Recognition based Smart Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.d268-d274, April-2022, Available :http://www.jetir.org/papers/JETIR2204332.pdf

"Face Recognition based Smart Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppd268-d274, April-2022, Available at : http://www.jetir.org/papers/JETIR2204332.pdf