Assignment on FACIAL RECOGNITION

  Literature Review of FACIAL RECOGNITION

As Okokpujie, et al. (2017) described that for the attendance, the current biometric methods are too invasive. A stress-free intrusive way of calling attendance is presented by this study, which is telling the attendance can be taken by the use of the faces by using facial recognition. The novelty has been added by this system to handheld the devices with the help of any kind of available cellular network by relying on the vital knowledge of the attendance of the class. The camera is used in the facial recognition system to capture the facial images during the enrollment on this system, which was made into the template by using and implementing the algorithm of the fisher faces. There are three kinds of templates that were stored in the database. Within the pre-set threshold, the use of the fisher linear discrimination compared the stored picture templates for any match as well as it is also extracted by the facial features from the captured images of the faces during the taking attendance or verification.

Furthermore, to designated handheld devices, by using the cellular network sent the collated attendance reports through the use of the information. The accuracy around 54.17 % at the time of the verification was owned by the designed as well as the implemented system when it varied the lighting without any kind of variation during the enrolment as well as the facial expression. The proposed system had an accuracy rate of around 70.83% at the time of the verification of the system whenever the facial expressions were also diverse related to the other kind of variation within the conditions of lighting at the time of enrolment (Okokpujie, et al. 2017).

As stated by Jha (2007), the identity of the person is his or her face. Everyone in this world cannot recognize any person without seeing the faces, so it is very important organ of the human body. A great change has been seen by some kind of method for exploiting such kinds of physical features since the beginning of the techniques of image processing. The sole aim is the very accurate recognition of any person by using the facial recognition system as well as such kind of identification may be utilized to process the recognition further. To identify a face, the traditional technique of the facial recognition systems service techniques from provided input while the outcome is not generally precise as well as not generally accurate as demanded. Furthermore, the facial recognition system which is stated by Jha (2007) in this study, completely focuses for the deviation from the typical systems as well as it also presents a new methodology for the identification of the student by using the face recognition system such as the generation of 3D model of the faces. The study states the working of the face recognition system, which must be deployed as an attendance system in the environment of the classroom. The automated attendance system should be installed in the classrooms for smartly taking the attendance of the students (Jha 2007).

As described by the Kar, et al. (2012), the significant problems in the control system are the authentication within the communication based on the computer. The facial recognition of the human is a significant part of the verification via biometric the system as well as it also has been extensively utilized within several applications like the network security, door control system, video monitor system as well as the human-computer interaction. The study is also presenting a significant approach for the attendance system of the student that will combine along with the technology of facial recognition through the usage of the algorithm of personal component analysis. Moreover, the proposed system will also record the attendance of the students within the environment of the classroom automatically as well as the facilities will be provided by this system for accessing the information of the students easily to the faculty of the school through maintaining the logs for the clock out time as well as the clock in time.

Furthermore, the improved performance is showed by the outcomes of the preliminary experiment within making an approximation of the attendance as compared to white attendance system as well as the black attendance systems traditionally. From the frames of the images or the videos, the existing work on the facial recognition attendance system is aimed at the algorithms of facial recognition (Kar, et al. 2012).

 References of FACIAL RECOGNITION

Jha, Abhishek. 2007. "Class Room Attendance System Using Facial Recognition System." The International Journal of Mathematics, Science, Technology, and Management 2 (3): 4-7.

Kar, Nirmalya, Mrinal K. Debbarma, Ashim Saha, and Dwijen Rudra Pal. 2012. "Study of Implementing Automated Attendance System Using Face Recognition Technique." International Journal of Computer and Communication Engineering, 100-103.

Okokpujie, Kennedy, Etinosa Noma-Osaghae, Samuel John, Kalu-Anyah Grace, and Imhade Okokpujie. 2017. "A face recognition attendance system with GSM notification." 2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON) (IEEE).