Dynamic Image Cropping for Check Authenticity Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in accurately evaluating the authenticity and validity of instruments, such as checks, due to physical anomalies like uneven edges or shapes, which can lead to false positives and hinder accurate analysis.
Innovation Solution
A system that evaluates the size and shape of instruments or images, modifies them programmatically to conform to expected dimensions, and then processes them for authenticity and validity, using machine learning algorithms to identify and correct anomalies in size and shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If instruments are analyzed with varying sizes and shapes, then the system can handle diverse physical conditions, but the accuracy of authenticity analysis deteriorates due to physical anomalies
Solution Approach 1:
The system performs preliminary cropping and resizing of instrument images before authenticity analysis. By standardizing the physical dimensions of images in advance, the system eliminates the negative impact of varying sizes and shapes on analysis accuracy, allowing diverse instruments to be processed uniformly.
Solution Approach 2:
The system dynamically adjusts image parameters (size, shape, cropping dimensions) based on the instrument type and expected characteristics. By changing these physical parameters to match expected values, the system maintains high analysis accuracy across diverse instrument conditions.
2Ease of operation
If the system accepts instruments of any size and shape, then ease of operation is improved, but false positives increase due to physical anomalies
Solution Approach 1:
The system performs preliminary validation by comparing instrument images against expected size and shape parameters before authenticity analysis. Instruments that deviate significantly from expected parameters are flagged or rejected, preventing false positives while maintaining ease of operation for valid instruments.
Solution Approach 2:
The system uses feedback from parameter comparison (actual vs. expected size and shape) to determine whether to proceed with authenticity analysis. This feedback mechanism allows the system to maintain high reliability by filtering out anomalous instruments while keeping the process simple for valid ones.
3Productivity
If no size and shape standardization is performed, then processing time is reduced, but authenticity analysis accuracy deteriorates
Solution Approach 1:
The system performs quick preliminary cropping and resizing operations before detailed authenticity analysis. These preliminary steps are optimized for speed while achieving the necessary standardization, thus minimizing the impact on processing time while significantly improving analysis accuracy.
Solution Approach 2:
The system applies partial standardization (cropping to expected dimensions) rather than complete reprocessing. This partial action is sufficient to eliminate the impact of size and shape variations on accuracy while requiring minimal additional processing time.
Data Source
AI summary
Systems for image evaluation and dynamic cropping are provided. In some examples, a system, may receive an instrument or image of an instrument. Identifying information may be extracted from the instrument or image of the instrument. Based on the extracted identifying information, a check/check image profile may be retrieved. In some examples, expected size and/or shape data may be extracted from the check/check image profile. The extracted expected size and/or shape data may be compared to size and/or shape data from the received instrument or image of the instrument to identify any anomalies (e.g., to determine whether the expected size and/or shape data matches the size and/or shape data of the received instrument or image of the instrument. If the expected size and/or shape data does not match size and/or shape data from the received instrument or image of the instrument, the instrument or image of the instrument may be programmatically modified and a modified image of the instrument may be generated.