Targeted OCR Regions for Text Orientation Without Barcodes
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Solution Overview
Problem
Conventional optical character recognition (OCR) technologies struggle to effectively identify text strings without associated barcodes, requiring manual device rotation or barcode scanning to determine orientation, which is inefficient and resource-intensive.
Innovation Solution
The method involves determining a composite directionality condition of a text string, including reading direction and character orientation, to perform OCR operations within a targeted region of interest (ROI), allowing for accurate text recognition without barcode reliance, and optimizing processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional OCR techniques are used without barcodes, then text recognition can be performed, but manual device rotation is required which reduces productivity and increases operation complexity
Solution Approach 1:
The system automatically determines the reading direction and character orientation of text strings without requiring manual device rotation or barcode scanning. The computing device self-adjusts by analyzing the text string's composite directionality condition, making the system self-servicing and eliminating manual intervention for orientation correction.
2Adaptability or versatility
If barcode scanning is used to determine orientation, then text string orientation can be identified, but the system cannot process text strings without barcodes which reduces adaptability
Solution Approach 1:
The system performs preliminary analysis of the text string's composite directionality condition (reading direction and character orientation) before performing OCR operations. This preliminary determination of orientation allows the system to process text strings without barcodes while maintaining accurate orientation identification.
3Measurement precision
If manual device rotation is performed to display text horizontally, then OCR accuracy improves, but processing time increases which worsens productivity
Solution Approach 1:
The system replaces the mechanical action of manually rotating the device with an automated computational process. The computing device uses image processing and directionality analysis to automatically determine and correct text orientation, substituting mechanical rotation with digital image manipulation to achieve the same OCR accuracy without time loss.
4Device complexity
If barcode scanning is used to determine orientation, then orientation can be identified, but additional scanning operations are required which increase device complexity and processing steps
Solution Approach 1:
The system merges the orientation determination function with the main OCR processing flow. Instead of requiring a separate barcode scanning step, the system combines orientation analysis (reading direction and character orientation detection) with the text recognition process, eliminating redundant steps and simplifying the overall operation.
Data Source
AI summary
Embodiments of the present disclosure provide systems and methods for optical character recognition (OCR) using targeted regions of interest (ROIs). In one embodiment, a method includes receiving, by one or more processors, data representative of an image comprising a text string, causing, by the one or more processors, a user interface to display the image comprising the text string, causing, by the one or more processors, the user interface to display a window on the image, the window representative of a region for performing an OCR operation, and performing, by the one or more processors, the OCR operation for the region based at least in part on a composite directionality condition of the text string. In some examples, the composite directionality condition of the text string includes a reading direction of the text string and a character orientation of the text string.