Patent ID: 11948390
Assignee: XINGCHONG KINGDOM (BEIJING) TECHNOLOGY CO., LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The dog nose print recognition method according to claim 1, wherein the step of performing key point detection on the plurality of regional images to be recognized to obtain key points corresponding to the regional images to be recognized, and using the key points to perform alignment processing of the regional images to be recognized to obtain aligned regional images to be recognized comprises:
inputting the plurality of regional images to be recognized into a trained key point detection model in sequence to obtain key points corresponding to the regional image to be recognized;
marking the key points corresponding to each regional image to be recognized with a regional label to obtain the key points with the regional label corresponding to the regional image to be recognized;

extracting a preset key point reference region corresponding to the regional image to be recognized, wherein the key point reference region has the same label as the regional label;
planning the regional image to be recognized with the key points with the regional label to the key point reference region with the same regional label, according to a principle of regional label consistency;
aligning the key points corresponding to the regional image to be recognized with key point reference positions contained in the corresponding key point reference region, and aligning the plurality of regional images to be recognized to standard positions of the regional images to be recognized by means of aligning the key points with the key point reference positions.