Text Recognition on Digital Dashboards via Centerline Detection
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Solution Overview
Problem
Current methods for recognizing text content on digital dashboards suffer from low accuracy due to errors in metering content recognition, which reduces the efficiency of instrument reading.
Innovation Solution
A method and apparatus for recognizing text content on electronic devices, involving acquiring a dial picture, detecting text centerlines and bounding boxes, and recognizing text content using multi-scale feature processing and supervised learning techniques to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional text recognition methods are used on dashboard pictures, then the recognition process is simple, but the recognition accuracy is low due to errors in metering content recognition
Solution Approach 1:
The patent segments the text recognition process into multiple stages: picture acquisition, text centerline detection, bounding box detection, and text content recognition. By dividing the recognition process into discrete modules, each handling a specific aspect of text identification, the system achieves higher accuracy while maintaining manageable complexity through functional decomposition
Solution Approach 2:
The patent performs preliminary actions by detecting text centerlines and bounding boxes before actual text recognition. This preliminary detection phase prepares the system by identifying text regions and their boundaries in advance, which improves the accuracy of subsequent recognition while organizing the complexity into distinct preparatory and execution phases
2Productivity
If conventional recognition approaches are used, then the system is easy to implement, but the instrument reading efficiency is reduced due to recognition errors
Solution Approach 1:
The patent implements feedback mechanisms through the multi-stage recognition process where each stage (centerline detection, bounding box detection, text recognition) provides information that refines the output of previous stages. This feedback loop allows the system to correct and improve recognition accuracy iteratively, enhancing both reliability and efficiency
Solution Approach 2:
By performing preliminary detection of text centerlines and bounding boxes before final text recognition, the system prepares accurate spatial and contextual information in advance. This preliminary action reduces errors in the main recognition process, thereby improving both reliability and reading efficiency
Data Source
AI summary
The present application discloses a method and an apparatus for recognizing text content, and an electronic device, and relates to a text recognition technique in the field of computer technology. The specific implementation is as follows: acquiring a dial picture; detecting at least one text centerline and a bounding box corresponding to each text centerline in the dial picture; and recognizing text content in each line of text in the dial picture based on the at least one text centerline and the bounding box corresponding to each text centerline.