With the development of science and technology and the advent of the era of
big data, the problem of
social information security receives much concern. For example, the
public security department identifies suspects from the streets, banks need identity
authentication of customers, and the customhouse identifies the identity of exit-entry people. The means of identity
authentication emerges in endlessly, such as
password,
fingerprint, ID card, RFID card and other ways of recognition, wherein face recognition is a popular research area at present. In recent years, many excellent talents have conducted research in the field of face recognition, and have made great achievement. In view of the weaknesses and shortcomings of the methods put forward by predecessors, the traditional
bacteria foraging method is improved in the invention, and the
improved algorithm is applied to face recognition, namely, classification is performed on an original face
database by the improved
bacteria foraging method first, and then, a target face is recognized by a comparison method. Experiments show that a method of the invention has very high recognition rate. The method of the invention mainly comprises a face input module, a face image preprocessing module, a face
feature extraction module, a bacterial foraging
algorithm training module, a target face image input module, and a target face image recognition module.