IR Security Mark Detection Using ROI Transition Analysis
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Solution Overview
Problem
Existing methods for detecting infrared (IR) security marks in documents are cumbersome and require specialized devices like IR scanners, which can be costly and prone to malfunction, making them unreliable for ensuring document security.
Innovation Solution
A method and system using a multi-function device to analyze predefined regions of interest (ROIs) in a document, generating arrays of counters to identify transition points, calculate the size of IR security marks, and compare it with predefined sizes to detect the marks automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated IR scanners are used to detect IR security marks, then detection capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies multi-functionality by enabling a standard multi-function device (scanner/copier/printer) to detect IR security marks without requiring a dedicated IR scanner. The device uses its existing imaging sensor and light source in combination with software processing to achieve IR mark detection, thereby eliminating the need for specialized hardware while maintaining detection capability
Solution Approach 2:
The patent uses the existing imaging capabilities of the multi-function device to create a digital copy or representation of the document, which is then processed to detect IR security marks. The software analyzes the captured image data to identify transition points corresponding to IR marks, replacing the need for physical IR scanning hardware
2Reliability
If dedicated IR scanners are used to detect IR security marks, then detection reliability is improved, but cost and dependency increase
Solution Approach 1:
The patent makes the multi-function device universal by adding IR security mark detection capability to its existing functions. The device can now perform document scanning, copying, printing, and security mark detection using the same hardware components, eliminating the need for separate dedicated IR scanners and reducing overall system cost and dependency
Solution Approach 2:
The patent enables the multi-function device to detect IR security marks using its own existing light source and imaging sensor, without requiring external specialized equipment. The device serves itself by utilizing its built-in components and applying software algorithms to process the captured data for security mark detection
3Measurement precision
If manual process with IR scanner is used, then detection accuracy is improved, but productivity decreases
Solution Approach 1:
The patent applies preliminary action by pre-defining regions of interest (ROIs) in the document where IR security marks are likely to be located. The software pre-processes the captured image to identify these regions and extracts relevant data, which accelerates the detection process while maintaining accuracy by focusing computational resources on critical areas
Solution Approach 2:
The patent uses partial action by analyzing only specific regions of the document (ROIs) rather than the entire document. The software identifies transition points in these predefined regions to detect IR marks, reducing the overall processing workload and increasing productivity while maintaining detection accuracy through targeted analysis
Data Source
AI summary
Methods and systems for detecting one or more infrared (IR) security marks embedded in a document include receiving a document including one or more regions of interest (ROIs), wherein the ROIs correspond to pre-defined locations in the document. Thereafter, the ROIs are processed to generate a plurality of arrays of counters corresponding to each ROI. Once generated, the plurality of arrays of counters are analyzed to identify a plurality of transition points corresponding to each ROI including the IR security mark. Thereafter, the transition points are used to calculated the size of the one or more IR security marks. Then, the calculated size is compared with the one or more IR security marks with a pre-defined size and, based on the comparison, the one or more IR security mark embedded in the document are detected for further analysis.