Face Recognition System Based on CNN

Di Wang, Hongzhi Yu, Ding Wang, Guanyu Li

20202020 International Conference on Computer Information and Big Data Applications (CIBDA)55 citationsDOI

Abstract

With the development of computer vision and artificial intelligence, face recognition is widely used in daily life. As one of the most concerned methods of biometric recognition, face recognition has become one of the research hotspots in the field of computer vision and artificial intelligence. However, face recognition is easily affected by internal and external differences, and it is often difficult for traditional face recognition methods to achieve ideal results. In order to further improve the recognition accuracy of current face recognition algorithms, this paper proposes a face recognition algorithm based on improved convolutional neural network. Experiments show that the improved algorithm can be effectively applied to the data set.

Topics & Concepts

Facial recognition systemComputer scienceArtificial intelligenceThree-dimensional face recognitionConvolutional neural networkBiometricsFace (sociological concept)Face Recognition Grand ChallengePattern recognition (psychology)Field (mathematics)3D single-object recognitionIntelligent character recognitionComputer visionSketch recognitionFace detectionFeature extractionCognitive neuroscience of visual object recognitionGesture recognitionImage (mathematics)Character recognitionPure mathematicsSociologySocial scienceMathematicsGestureFace recognition and analysisFace and Expression RecognitionVideo Surveillance and Tracking Methods