| Abstrakt: |
In the modern technological era, face recognition is attracting greater attention. The two methods used to recognize a person are physiological and behavioral, including fingerprint, iris scan, voice scan, signature scan, palm scan, etc. For this type of recognition, human action must be involved like placing the finger on a scanner. While face recognition does not need any human action, so it is most successful than any other biometric identification method and also advantageous. It is not new technology for us; we have been using it in our daily lives. It plays an important role in retail crimes, unlocking phones, finding the missing persons, helping blind, facilitating secure transactions, validating identity at ATMs, diagnose disease, protecting law enforcement, student attendance system, etc. The face recognition system can be realized using the existing hardware, cameras and image capture devices. Identifying a face from an existing database is a challenging issue in face recognition. Poor image quality, inadequate illumination, the subject not looking directly at the camera, and other factors can all cause problems. The same person's face will look different depending on how they are feeling. As a person ages, it gets harder to identify their face since their size and color may also change. This article uses the suggested system's Android application to track attendance using face recognition. The proposed technique can be utilized to school and college participation records. The human face in the transferred to the server picture of that class can be perceived utilizing a calculation. The HAAR overflow classifier is being utilized to cut out the face in this case and distinguish it. The HOG approach is then used to extricate the highlights of the perceived face. In the closing stage, a SVM classifier is utilized to distinguish the person from our data set. At the point when the individual is recognized in the photograph, the participation for that specific class will be naturally appointed in the succeed sheet. [ABSTRACT FROM AUTHOR] |
