Deep learning-based oracle bone character part detection and recognition method

The invention discloses a deep learning-based oracle bone character part detection and recognition method, and mainly relates to the technical field of oracle bone character recognition. The method comprises the following steps: S1, scanning or photographing an oracle bone rubbing to obtain an oracle bone image; S2, screening an oracle single part region in the oracle image by adopting a maximum extreme value stable region algorithm; S3, carrying out ellipse fitting on the selected oracle single part area; S4, adopting a non-maximum suppression algorithm to remove redundant repeated or wrong detection results of the same oracle single part, oracle single part detection is completed, and oracle single part data is obtained; and S5: utilizing the BN-Lenet network model to identify the oraclesingle part data. The method has the advantages that high recognition precision can be obtained, oracle bone texts are regarded as partial combinations instead of whole-character recognition, unexamined oracle bone text new