IR Security Mark Detection via Halftone Frequency Analysis
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Solution Overview
Problem
The existing methods for detecting Infrared (IR) security marks in documents require dedicated devices like IR scanners, which increase costs and dependency, and are unreliable if the scanners malfunction, necessitating an alternative method for detection.
Innovation Solution
A method and system using a multi-function device to detect IR security marks based on unknown halftone frequency information, where the device estimates halftone frequencies, classifies regions, extracts the IR security mark, and compares it with pre-stored marks to ascertain its presence, eliminating the need for dedicated IR devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated IR scanners are used to detect IR security marks, then detection reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent enables multi-function devices (scanners with copying, printing, scanning capabilities) to perform IR security mark detection, which was previously only possible with dedicated IR scanners. This is achieved by processing halftone frequency information from standard scan data, allowing a single device to serve multiple functions including both document scanning and security mark verification.
Solution Approach 2:
The patent uses the scanning function of multi-function devices to capture images of documents, then processes these copied images to extract halftone frequency information for IR mark detection. Instead of requiring direct IR scanning, the system creates a digital copy and analyzes its frequency characteristics to identify IR security marks.
2Reliability
If dedicated IR scanners are deployed, then IR mark detection capability is improved, but system dependency increases
Solution Approach 1:
The patent enables existing multi-function devices to perform IR security mark detection, eliminating the need for separate dedicated IR scanning systems. Organizations can use their existing scanning infrastructure for both document management and security verification, reducing system dependency and improving adaptability.
Solution Approach 2:
The patent combines IR security mark detection functionality with existing multi-function device operations. The halftone frequency analysis is integrated into the normal scanning workflow, merging security verification with document processing functions that organizations already perform.
3Device complexity
If multi-function devices are used to detect IR marks, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent performs preliminary scanning of the document using the multi-function device's standard scanning capabilities to capture the halftone pattern. This preliminary action creates a digital representation that can then be analyzed for frequency information, allowing the system to prepare data for IR mark detection before actual verification occurs.
Solution Approach 2:
The patent replaces the mechanical/optical system of dedicated IR scanners with a computational approach. Instead of using specialized IR sensors and optics, the system uses standard scanning followed by digital signal processing to extract halftone frequency information, substituting physical measurement mechanisms with computational analysis.
4Measurement precision
If halftone frequency analysis is performed, then IR mark identification accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs halftone frequency analysis on the scanned document image as a preliminary step to identify potential IR security marks. By analyzing the frequency characteristics of the halftone pattern in the scanned image, the system can quickly determine the presence and location of IR marks before performing more detailed verification, reducing overall processing time.
Data Source
AI summary
The present disclosure discloses methods and systems for automatically detecting Infrared (IR) security mark based on unknown halftone frequency information. The method includes receiving a document from a user including an IR security mark. The document is scanned. Then, one or more halftone frequencies associated with the IR security mark portion are estimated. Based on the estimation, the IR security mark portion is classified into a background region and the IR marked region including the IR security mark. The IR security mark is extracted and pixels falling in the IR marked region are reconstructed to identify content in the IR security mark. Finally, the identified content is compared with one or more pre-stored IR security marks to ascertain the presence of the IR security mark in the document for further assessment. This way, the method automatically detects the IR security mark in the document.