Document Image Integrity Verification Using Embedded Characteristics
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Solution Overview
Problem
In high-speed check processing, errors occur where the image captured for a check is stored and indexed with incorrect account information, leading to potential privacy breaches due to synchronization issues in imaging and sorting systems.
Innovation Solution
Embedding data about document characteristics within the image file and comparing it with stored or newly determined characteristics before allowing access or use, using techniques such as TIFF headers, steganographic watermarks, or perimeter bands, and optionally encrypting data to ensure integrity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed check processing is implemented, then productivity is improved, but image-MICR synchronization reliability deteriorates
Solution Approach 1:
The patent embeds document characteristic data (such as MICR codeline information) directly into the image file during the initial image capture process. This preliminary action ensures that the integrity verification data is already present in the image file before any processing or storage operations occur, enabling later verification without requiring additional synchronization steps during high-speed processing.
Solution Approach 2:
The patent implements an integrity verification process that compares embedded document characteristic data with data extracted from the stored image or associated records. This feedback mechanism detects mismatches between images and their indexed MICR information, allowing the system to identify and correct synchronization errors that occur during high-speed processing.
2Reliability
If image-MICR synchronization is manually verified, then reliability is improved, but productivity deteriorates
Solution Approach 1:
The patent enables the image file to carry its own integrity verification data through embedded document characteristics. When verification is needed, the system extracts and compares this embedded data with data from the image or associated records, allowing the data itself to verify its own integrity without requiring external manual verification processes.
Solution Approach 2:
The patent replaces manual verification processes with automated algorithmic comparison. The integrity verification system uses software to automatically extract embedded document characteristics and compare them with corresponding data from the image or index, substituting human manual checking with automated computational processes that maintain reliability while preserving productivity.
3Reliability
If image integrity verification is performed, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines the document characteristic data with the image file itself by embedding the verification data directly within the image file structure. This merging eliminates the need for separate verification data storage systems and simplifies the overall architecture by integrating integrity information into the existing image file format.
Solution Approach 2:
The patent creates a copy of essential document characteristics (such as MICR codeline data) and embeds this copy within the image file. This copied verification data can then be extracted and compared with the original source data to verify integrity, providing a simple verification mechanism that does not require complex additional systems.
Data Source
AI summary
Image integrity in an archive can be verified using document characteristics. Embodiments of the invention provide a way to verify the integrity of a stored document image by determining document characteristics, which can also be embedded in the image file. Before allowing access to the image file by an application, the characteristics data from an image analysis can be compared to either or both of, characteristics information otherwise stored, or embedded characteristics data. The embedded data can optionally be encrypted. In example embodiments the data can include a result of an optical character recognition of contents of the document, a length of data describing the image, a percentage of a specified color of pixels in the image, or a checksum. Example embedding techniques can include those making use of a tagged image file format (TIFF) header, a steganographic watermark, or an image artifact.