Check Image Pairing for Multi-Capture Remote Deposit Scanning
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Solution Overview
Problem
Existing technologies face challenges in effectively capturing clear, unobstructed images of both sides of multiple documents, particularly checks, during remote deposit capture, due to issues like piggybacking, blurry images, and manual matching of front and back sides, which are time-consuming and prone to errors.
Innovation Solution
The system employs image correction, automated front-to-back side matching using geometrical features, and provides real-time feedback to users through alerts for rescanning checks with overlapping or poor image quality, utilizing scanners and cameras for efficient capture and automatic image pairing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple checks are scanned using existing technologies, then the capture process becomes time-consuming and error-prone due to manual matching, but implementing automated matching requires complex image processing algorithms
Solution Approach 1:
The patent replaces manual mechanical matching operations with automated image processing algorithms. The system uses optical character recognition (OCR) to extract text from check images and automatically matches front and back sides by comparing extracted data, eliminating the need for manual intervention while maintaining accuracy.
Solution Approach 2:
The system enables self-service by allowing the scanning device to automatically perform image correction, quality assessment, and front-back matching without user intervention. The device autonomously identifies captured checks, corrects image quality issues, and pairs corresponding sides based on extracted features.
2Reliability
If image quality standards are strictly enforced, then blurry or overlapping check images are rejected, but this increases the need for rescanning and user intervention
Solution Approach 1:
The system implements feedback by providing real-time quality assessment of captured check images. It analyzes image clarity, detects overlapping documents, and communicates quality status to the user, enabling immediate correction of scanning issues and reducing the need for repeated rescanning operations.
Solution Approach 2:
The system performs preliminary image correction and quality validation immediately after capture. By preprocessing images to correct common issues like blur or overlap detection before final processing, it ensures quality standards are met while minimizing the need for user intervention and rescanning.
3Ease of operation
If automated front-to-back side matching is implemented, then manual matching effort is eliminated, but the system requires precise geometrical feature extraction and comparison capabilities
Solution Approach 1:
The patent replaces manual visual matching with automated algorithms that extract geometrical features from check images. The system uses coordinate-based matching and pattern recognition to automatically pair front and back sides, substituting human cognitive effort with computational processing.
Data Source
AI summary
Systems and techniques may be used to perform multi-capture for remote deposit via scanner. For example, a technique may include scanning a first side and a second side of a plurality of checks, and comparing geometrical features of the first side of each check of the plurality of checks to geometrical features of the second side of each check of the plurality of checks. Based on the comparison, the technique may include selecting an image from a first set of respective individual images that corresponds to an image from a second set of respective individual images to form a pair of images, the pair of images representing a single check of the plurality of checks, and outputting the pair of images.