
Research and Application of Facial recognition Algorithm in Audit Investigation
Author(s) -
Hairong Wang,
Weibo Li,
Qing Wan,
Hua Yan,
Rui Xiang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/4/042061
Subject(s) - computer science , preprocessor , artificial intelligence , robustness (evolution) , facial recognition system , histogram , data pre processing , pattern recognition (psychology) , training set , computer vision , algorithm , image (mathematics) , biochemistry , chemistry , gene
Aiming at the application scene of face image recognition in audit investigation, firstly, a face data set with corresponding environmental interference is simulated to increase the diversity of data; in the preprocessing stage, the improved method of adaptive histogram illumination balance and simulated glasses covering is used for image enhancement; in the model training stage, an optimal weight re overloading model training algorithm is proposed. The experimental results show that the accuracy, robustness and efficiency of face recognition in the application scene are improved by the improvement of image enhancement preprocessing and the model training of optimal weight reloading.