17456197. VISUAL MODE IMAGE COMPARISON simplified abstract (International Business Machines Corporation)
Contents
VISUAL MODE IMAGE COMPARISON
Organization Name
International Business Machines Corporation
Inventor(s)
VISUAL MODE IMAGE COMPARISON - A simplified explanation of the abstract
This abstract first appeared for US patent application 17456197 titled 'VISUAL MODE IMAGE COMPARISON
Simplified Explanation
The abstract describes a method, computer program, and system for comparing images to determine content consistency. Here is a simplified explanation of the abstract:
- The method involves receiving two images, each containing a document.
- A visual classification analysis is performed on both images, creating an overlap of the two images.
- The method then determines if there is a region in the overlap that indicates a content inconsistency.
- If a content inconsistency is detected, a character recognition analysis is performed on the corresponding areas of the two images to verify the inconsistency.
Potential applications of this technology:
- Document verification: This technology can be used to compare scanned documents or images of documents to ensure they are consistent and have not been tampered with.
- Plagiarism detection: By comparing images of text, this technology can help identify instances of plagiarism or unauthorized copying.
- Quality control: It can be used in industries where consistency and accuracy of documents are crucial, such as legal, medical, or financial sectors.
Problems solved by this technology:
- Content inconsistency detection: This technology provides a method to automatically compare images and identify regions where the content may be inconsistent or altered.
- Efficient verification: By using visual classification and character recognition analysis, this method can quickly and accurately verify the consistency of documents.
Benefits of this technology:
- Time-saving: The automated analysis of images eliminates the need for manual comparison, saving time and effort.
- Accuracy: By using visual and character recognition analysis, this technology can provide accurate and reliable results in detecting content inconsistencies.
- Scalability: This method can be implemented in a computer program or system, allowing for large-scale image comparison and verification.
Original Abstract Submitted
A method, a computer program product, and a computer system compare images for content consistency. The method includes receiving a first image including a first document and a second image including a second document. The method includes performing a visual classification analysis on the first image and the second image. The visual classification analysis generates an overlap of the first image with the second image. The method includes determining whether a region of the overlap is indicative of a content inconsistency. As a result of the region of the overlap being indicative of a content inconsistency, the method includes performing a character recognition analysis on a first area of the first image and a second area of the second image corresponding to the region of the overlap to verify the content inconsistency.
