Dog Nose Print Recognition via Key Point Alignment
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Solution Overview
Problem
Current dog identity recognition methods are plagued by low feasibility and cause harm to dogs, with existing solutions like dog certificates and microchipping having low penetration rates and being difficult to recognize without professional equipment.
Innovation Solution
A dog nose print recognition method and system that collects nose images, processes them to extract regional images, performs key point detection and alignment, and uses feature vectors for identity recognition, improving accuracy and efficiency while reducing data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dog certificates are used for identity recognition, then identification capability is provided, but penetration rate is low due to annual re-examination and fees
Solution Approach 1:
The patent extracts the essential identification feature (nose print) from the dog's physical characteristics and uses it for recognition, eliminating the need for certificates and annual re-examinations. This extraction approach enables permanent, fee-free identification while maintaining reliability.
Solution Approach 2:
The patent creates a digital copy of the dog's nose print pattern and stores it in a database for recognition purposes. This copying approach replaces physical certificates with digital identifiers that can be verified without annual re-examination, thereby increasing penetration rate while maintaining identification reliability.
2Reliability
If microchips are injected into dogs for identification, then permanent identification is achieved, but it causes harm to the dog and requires professional equipment for recognition
Solution Approach 1:
The patent replaces the mechanical injection method (microchipping) with a non-invasive image capture method. By using a camera to capture the dog's nose print pattern and comparing it with stored images, the system eliminates the harmful injection process while maintaining permanent identification capability.
Solution Approach 2:
The patent creates a digital copy of the dog's nose print pattern and stores it in a database. This digital copying approach replaces the physical microchip, eliminating the need for professional injection equipment and making recognition accessible through simple image comparison.
3Reliability
If microchips are used for identification, then permanent identification is provided, but recognition is limited requiring professional equipment from specific organizations
Solution Approach 1:
The patent replaces the specialized microchip reading equipment with a standard camera and image processing system. This substitution allows any device with image capture capability to perform identification, dramatically improving accessibility and ease of operation while maintaining reliable identification through nose print pattern matching.
4Measurement precision
If full nose images are processed for recognition, then comprehensive analysis is achieved, but data processing amount is large reducing efficiency
Solution Approach 1:
The patent segments the nose image into multiple regional images, each highlighting specific anatomical features. By processing these segmented regions separately and extracting key features from each, the system maintains comprehensive analysis accuracy while reducing the overall data processing volume and improving recognition efficiency.
Solution Approach 2:
The patent extracts key feature points and regional images from the full nose image, focusing processing only on the most discriminative areas. This extraction approach maintains recognition accuracy by concentrating on essential features while significantly reducing the amount of data that needs to be processed.
Data Source
AI summary
The present disclosure provides a dog nose print recognition method and system. The dog nose print recognition method includes: collecting a nose image of a dog, acquiring the nose image, and processing the nose image to obtain a plurality of regional images to be recognized; 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; and performing dog nose print feature vector extraction and recognition on the aligned regional images to be recognized, and determining a dog identity recognition result through the dog nose print feature vector extraction and recognition. The system includes modules corresponding to the steps of the method.