Analysis of Directional Projection Characteristics Based on Convolution Neural Network Algorithm and Application of Cultural Relics Authenticity Identification

In recent years, with the rapid development of computer technology, intelligent algorithms have been widely used in all walks of life. More and more data processing methods have been applied in ancient ceramic identification. This paper introduces the identification algorithm of archival cultural relics based on a cascaded deep convolution neural network, the smooth identification algorithm of cultural relics image, the shape identification based on geometric constants, the theoretical basis of cultural relics identification, cultural relics are physical relics combined with human values in a certain sense. We should not only respect the value and significance of cultural relics themselves but also transmit the ideological connotation and spiritual significance given by predecessors to the present through protection and restoration.