Detection and Recognition of face using Haar Cascade and LBPH method for taking Attendance

Detection and Recognition of face using Haar Cascade and LBPH method for taking Attendance

M.S. Khatib1, Mohammad Arsalan2, Mohammad Sajid3, Mohammad Adnan Khan4, Ankush Charde5

Department of Computer Science and Engineering , Anjuman College of Engineering and Technology, Nagpur, India

Abstract— ­Face recognition is a rapidly evolving technology that allows computers to identify human faces using algorithms and mathematical models. It has a wide range of applications, from security systems to social media platforms. Face recognition algorithms can be based on geometric or texture-based features and can be trained using large datasets of images. While the technology has many benefits, it also raises concerns around privacy, security, and bias. This technology is used for different types of purposes like taking attendance of students in classroom, employee attendance etc. There are different types of algorithms that have been designed for face recognition. Here we are using Haar Cascade and LBPH algorithms for detecting and recognizing the faces.

Key Words— Texture-based features, Haar Cascade, LBPH, detecting, recognizing.