A Survey on Face Recognition
S Santhosh · 2020
Face Recognition is a prominent biometric system and also it has been widely used basic strategy that human use in their visual contacts. Numerous biometric verification frameworks like Iris, Deoxyribonucleic Acid (DNA), Vein, Finger Print endures the issues of data acquisition. Face Recognition (FR) plays very important role in biometric systems. The recognition rate of Face biometric primarily relies upon choosing the features. This study presents a survey on FR techniques. The majority of the current techniques are extensively described in Five steps, Face Image Acquisition, Preprocessing, Feature Extraction, Feature Classification and Recognition. According to the available literature work, the real time Face Recognition biometrics needs still better performance, resistant to be spoofing attack and needs better recognition accuracy. The recognition accuracy can be increased by advanced methods such as Neural Networks and by using Feature Extraction algorithms.