Industry Encyclopedia>How about OCR recognition rate
How about OCR recognition rate
2024-05-06 09:32:20
The performance of OCR (Optical Character recognition) recognition rate varies by application scenario, technology provider, and specific recognition object (such as print, handwritten, card, etc).
The following are some generalizations and point generalizations of the OCR recognition rate: Universal text recognition rate: Printed type: The overall recognition accuracy rate is more than 95%.
This means that in most cases, OCR technology is able to accurately identify and extract text from printed documents.
Handwriting: recognition rate of more than 90%.
Due to the variability of handwriting and personal writing style differences, its recognition rate is slightly lower than print, but still reached a fairly high level.
Specific scene recognition rate: card text (such as ID card) : In ID card recognition, ID card number recognition accuracy of more than 99.
9%, name recognition accuracy of more than 99%.
This shows that OCR technology performs particularly well when dealing with card documents with fixed formatting and layout.
Bill documents (such as value-added tax invoices) : The identification accuracy rate of key information such as invoice code, total value tax and total amount has also reached more than 99%.
This shows the power of OCR when dealing with documents with complex layouts and multiple font sizes.
Car related recognition rate: the overall recognition accuracy rate of vehicle-related documents such as driving licenses and driving licenses is more than 96%, while the accuracy rate of license plate recognition and vehicle VIN code is as high as more than 98%.
These high recognition rates demonstrate the professionalism and accuracy of OCR technology in specific industry applications.
Factors affecting recognition rate: It is worth noting that OCR recognition rate can be affected by a variety of factors, including writing quality, writing style, font size and shape, lighting conditions and angles, background noise, and character spacing and line spacing.
Although modern OCR technology has high adaptability and robustness, the recognition rate may be affected under some extreme conditions.
To sum up, OCR technology generally has a high recognition rate in different scenarios, especially when dealing with printed text and documents with fixed formats.
However, in practical applications, it is still necessary to consider various factors that may affect the recognition rate and select the appropriate OCR solution to meet the specific needs.
The following are some generalizations and point generalizations of the OCR recognition rate: Universal text recognition rate: Printed type: The overall recognition accuracy rate is more than 95%.
This means that in most cases, OCR technology is able to accurately identify and extract text from printed documents.
Handwriting: recognition rate of more than 90%.
Due to the variability of handwriting and personal writing style differences, its recognition rate is slightly lower than print, but still reached a fairly high level.
Specific scene recognition rate: card text (such as ID card) : In ID card recognition, ID card number recognition accuracy of more than 99.
9%, name recognition accuracy of more than 99%.
This shows that OCR technology performs particularly well when dealing with card documents with fixed formatting and layout.
Bill documents (such as value-added tax invoices) : The identification accuracy rate of key information such as invoice code, total value tax and total amount has also reached more than 99%.
This shows the power of OCR when dealing with documents with complex layouts and multiple font sizes.
Car related recognition rate: the overall recognition accuracy rate of vehicle-related documents such as driving licenses and driving licenses is more than 96%, while the accuracy rate of license plate recognition and vehicle VIN code is as high as more than 98%.
These high recognition rates demonstrate the professionalism and accuracy of OCR technology in specific industry applications.
Factors affecting recognition rate: It is worth noting that OCR recognition rate can be affected by a variety of factors, including writing quality, writing style, font size and shape, lighting conditions and angles, background noise, and character spacing and line spacing.
Although modern OCR technology has high adaptability and robustness, the recognition rate may be affected under some extreme conditions.
To sum up, OCR technology generally has a high recognition rate in different scenarios, especially when dealing with printed text and documents with fixed formats.
However, in practical applications, it is still necessary to consider various factors that may affect the recognition rate and select the appropriate OCR solution to meet the specific needs.
