Adjustable Serial Number Recognition for Banknotes
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Solution Overview
Problem
Conventional paper sheet recognition apparatuses are limited in handling various types of banknotes and checks due to fixed recognition standards, struggling with serial numbers in different sizes, orientations, and patching scenarios, leading to inefficiencies and poor accuracy.
Innovation Solution
A paper sheet processing apparatus with adjustable recognition and authentication conditions, including image readers, number-attribute-information memory, and communication interfaces, allows for customizable number recognition and authentication processes tailored to specific paper types, enabling flexible handling of diverse banknotes and checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single standard judgment method is used for serial number recognition, then the device complexity is reduced, but the adaptability to different paper sheet types (banknotes, checks, etc.) deteriorates
Solution Approach 1:
The patent implements dynamic adaptability by allowing the recognition conditions (such as serial number position, font size, orientation) to be changed based on the detected paper sheet type. The system dynamically adjusts recognition parameters according to whether the paper sheet is a banknote, check, or other document, resolving the contradiction between fixed system complexity and variable adaptability requirements.
Solution Approach 2:
The patent creates a universal recognition system that can handle multiple paper sheet types (banknotes, checks, bonds, etc.) through a single apparatus. By incorporating type detection functionality and making recognition conditions adjustable, the system achieves multi-functionality without requiring separate specialized devices for each paper sheet type.
2Measurement precision
If character recognition methods are used for uniform serial numbers, then the measurement precision is high, but the reliability for non-uniform serial numbers (different sizes, orientations) deteriorates
Solution Approach 1:
The patent changes the parameters of serial number recognition by detecting and adapting to variations in font size, orientation, and position. Instead of using a fixed recognition approach, the system adjusts recognition parameters based on the actual characteristics of the serial number, thereby maintaining high precision across uniform and non-uniform serial numbers alike.
Solution Approach 2:
The system dynamically adjusts recognition conditions based on the detected serial number characteristics. When serial numbers have different sizes or orientations, the recognition process adapts its parameters accordingly, ensuring reliable and consistent recognition regardless of the serial number format variations.
3Reliability
If multiple judgment criteria are implemented for counterfeit detection, then the reliability of authentication is improved, but the device complexity increases
Solution Approach 1:
The patent performs preliminary detection of the paper sheet type before executing the authentication process. By first identifying whether the paper sheet is a banknote, check, or other document, the system can then apply appropriate judgment criteria specific to that type, avoiding the need to implement all possible judgment methods simultaneously and thereby reducing overall system complexity while maintaining high reliability.
4Adaptability or versatility
If serial numbers are read from multiple areas, then the adaptability to patched counterfeit notes is improved, but the loss of time in processing increases
Solution Approach 1:
The system performs preliminary detection to identify the paper sheet type and assess potential counterfeit indicators before conducting full serial number verification. This preliminary assessment allows the system to efficiently determine whether multiple serial number readings are necessary, thereby reducing processing time while maintaining the capability to detect patched counterfeit notes.
Data Source
AI summary
A paper sheet processing apparatus that performs a recognizing process of a paper sheet includes: a paper sheet recognition sensor (11) that reads an image of a paper sheet; a number-attribute information memory (131) that stores number attribute information including number recognition conditions for recognizing a number given to a paper sheet; and an image processing unit (134) and a character recognizing unit (135) that recognize a number of a paper sheet from an image read by the paper sheet recognition sensor (11), based on number recognition conditions stored in the number-attribute information memory (131).