Simple face recognition and classification system

• Main Authors: JIANG LIN, JIA HUIZHEN, ZHANG ZIHAO, WANG TONGHAN, LI TAN
• Format: Patent
• Language: Chinese; English
• Published: 27.10.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a simple face recognition and classification system which comprises a face capture module, a data processing module, a neural network module and a recognition test module. Theface capture module uses an OpenCV or Dlib library to mark and extract a face in the face captured by a camera to obtain a face data set; the data processing module processes the face data set obtained by the face capture module, so that the face data set can be trained and learned by a neural network; the neural network module trains and tests the processed data obtained by the data processing module to obtain a weight model file of network training; and the recognition test module is used for demonstrating face recognition. According to the invention, a TensorFlow deep learning framework israpidly utilized to build a simple face recognition classification system, and more reference possibilities are provided for application of deep learning in face recognition; meanwhile, the system canalso provide more possibil