MICR Character Defect Identification Using Combined Magnetic and Optical Signals

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Solution Overview

Problem

Current methods for testing MICR character recognition on paper documents are inadequate, as they fail to accurately identify the source of reading errors, especially when rejected documents are not available or do not visibly show printer or application-related issues, leading to ineffective corrective actions.

Innovation Solution

A system and method that uses both magnetic and optical signal data to compare against templates to determine the compliance of MICR characters with character standards, identifying defects through a combination of magnetic and optical readers within the same housing, allowing for the correlation of errors between the two signals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If only magnetic signal data is used for MICR character recognition, then magnetic ink compliance is ensured, but optical defects such as paper roughness and print quality issues cannot be identified

Engineering Contradiction:

Improvedefect identification accuracyVSAvoidtesting system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines magnetic signal reading and optical image capture into a single integrated testing system. The magnetic reader and optical scanner are housed together, allowing simultaneous acquisition of both magnetic and optical data for the same MICR character location. This merging enables comprehensive defect identification without requiring separate testing equipment.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The testing system segments the analysis into two independent components: magnetic signal analysis and optical image analysis. Each component can be processed separately and then correlated to identify the source of reading errors. This segmentation allows the system to handle complex defect identification by breaking it down into manageable analytical tasks.

Inventive Principle:

Principle #1Segmentation

2Reliability

If rejected documents are not available or do not visibly show printer issues, then quality control cannot be effectively performed, leading to inability to take corrective actions

Engineering Contradiction:

Improvequality control effectivenessVSAvoiddefect detection difficulty

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary testing on documents before they are rejected, capturing both magnetic and optical data proactively. By analyzing the document quality in advance and comparing it against templates, the system identifies potential issues before they result in rejection, enabling preventive corrective actions rather than reactive troubleshooting.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides feedback by comparing captured magnetic and optical data against predefined templates for correct MICR characters. When deviations are detected, the system generates quality control reports that feedback to operators, enabling them to adjust printing parameters or replace components before rejection occurs.

Inventive Principle:

Principle #23Feedback

3Reliability

If magnetic ink is used for printing, then MICR character recognition is enabled, but optical readability of other fonts such as OCR may be compromised

Engineering Contradiction:

ImproveMICR character recognitionVSAvoidoptical character readability

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system applies different analysis methods to different character types on the same document. Magnetic signal analysis is applied specifically to MICR characters printed in magnetic ink, while optical image analysis is applied to OCR characters and other text. This local quality approach ensures each character type is evaluated using the most appropriate method, maintaining both MICR recognition reliability and optical readability assessment.

Inventive Principle:

Principle #3Local quality

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables precise identification of defects in MICR characters, facilitating effective corrective actions by distinguishing between magnetic and optical errors, thereby improving the quality control of MICR documents.

Implementation Method 1

obtaining a magnetic signal data indicative of dimensional features of the MICR character

Methodology Applied

Scientific EffectMagnetic signal detection: Magnetism

Implementation Method 2

obtaining optical image data indicative of the dimensional features of the MICR character

Methodology Applied

Scientific EffectOptical detection: Reflection

Data Source

PatentUS8615124B2Comparison of optical and magnetic character data for identification of character defect type

Publication Date: 2013.12.24 RDM CORP

AI summary

A system for determining a plurality of PCS values for a document image representing a document having at least one area of interest on a surface of the physical item for containing critical data and a background image positioned on the surface, the document suitable for positioning in a digital image recorder, the system determines from the memory a plurality of PCS threshold values having specified surface locations matching the assigned locations of the calculated PCS values and compares the PCS threshold values with the calculated PCS values to determine whether the target portions satisfy their respective PCS threshold values; wherein the degree of target portions that satisfy their PCS threshold value is indicative of the acceptability of the design of the background image when processed by the digital image recorder.