11/15/2022 0 Comments Face recognition time attendance![]() ![]() Face recognition based systems are relatively oblivious to various facial expression. However, these systems are queue based which might consume more time and are intrusive in nature.įace recognition has set an important biometric feature, which can be easily acquirable and is non-intrusive. Therefore, many institutes started deploying many other techniques for recording attendance like use of Radio Frequency Identification (RFID), iris recognition, fingerprint recognition, and so on. There are some chances of proxy attendance. It is also an extra burden to the faculties who should mark attendance by manually calling the names of students which might take about 5 minutes of entire session. Traditional method of attendance marking is a tedious task in many schools and colleges. KeywordsFace Recognition Face Detection Haar-Cascade classifier Local Binary Pattern Histogram attendance system Attendance will be mailed to the respective faculty at the end of the session. Faces are detected and recognized from live streaming video of the classroom. Face detection and recognition is performed using Haar-Cascade classifier and Local Binary Pattern Histogram algorithm respectively. Database is created by the images of the students in class. This system consists of four phases- database creation, face detection, face recognition, attendance updation. Thus, the need for this system increases. ![]() And there may be chances of proxy attendance. This system aims to build a class attendance system which uses the concept of face recognition as existing manual attendance system is time consuming and cumbersome to maintain. Furthermore, face recognition system can also be used for attendance marking in schools, colleges, offices, etc. Despite of having low accuracy when compared to iris recognition and fingerprint recognition, it is being widely used due to its contactless and non-invasive process. It can used for security, authentication, identification, and has got many more advantages. Face recognition is one of the mostly used biometrics. of Computer Science and Engineering Yenepoya Institute of Technology Moodbidri, IndiaĪbstract In this digital era, face recognition system plays a vital role in almost every sector. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |