Character Recognition via Pre-Processing Resolution Reduction
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Solution Overview
Problem
Conventional character recognition techniques require multiple photoelectric conversion means, leading to a complex apparatus configuration and increased costs, making it difficult to accurately recognize characters of various sizes.
Innovation Solution
An image processing apparatus and method that determine the character size range of characters in image data and perform a reduction process on larger characters to standard size, using pre-set reduction ratios for each size range, allowing for accurate character recognition without complex configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple photoelectric conversion means are used to recognize characters of various sizes, then character recognition accuracy is improved, but apparatus complexity and cost increase
Solution Approach 1:
The patent changes the parameter of image resolution by reducing the resolution of image data before character recognition. This allows a single photoelectric conversion means to handle various character sizes accurately by adjusting the processing parameters rather than using multiple conversion means with different resolutions.
Solution Approach 2:
The patent extracts and removes redundant information from the image data by reducing its resolution. This extraction of essential character information while removing excessive detail allows accurate recognition with simpler apparatus, eliminating the need for multiple photoelectric conversion means.
2Measurement precision
If multiple photoelectric conversion means are used to recognize characters of various sizes, then character recognition accuracy is improved, but apparatus cost increases
Solution Approach 1:
The patent makes a single photoelectric conversion means universal by implementing software-based resolution adjustment and character recognition algorithms that can handle various character sizes. This multi-functional approach eliminates the need for multiple specialized conversion means, reducing apparatus cost while maintaining recognition accuracy.
Solution Approach 2:
The patent uses computationally inexpensive image reduction and recognition algorithms rather than expensive hardware solutions. The processing methods are lightweight and can be implemented through software, reducing the need for costly specialized hardware components.
3Measurement precision
If image data is reduced for large characters, then recognition accuracy for various sizes is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary image reduction before character recognition. By pre-processing the image data to reduce its resolution and size, the subsequent recognition process becomes simpler and more efficient, handling various character sizes uniformly without complex real-time adjustments.
Data Source
AI summary
Disclosed is an image processing apparatus which (i) determines whether or not characters to be subjected to a character recognition process in image data have a size larger than a predetermined size, (ii) in a case where the characters is determined as larger than the predetermined size, reduces at least a region including the characters so that the size of the characters fits within the predetermined size, and (iii) performs a character recognition process of the characters with use of the reduced image data.