High speed cameras, also known as high-speed cameras, are specialized for office use and have been widely used in industries such as education, finance, government, and hospitals. The high-speed scanner is a newly developed ultra portable low-carbon office product that has won the favor of many consumers due to its powerful functions since its launch. It is also an innovative product in the office field. It has a foldable and ultra convenient design, which can complete high-speed scanning in one second. It also has OCR text recognition function, which can convert scanned images into editable Word documents. It can also perform operations such as taking photos, recording videos, copying, network paperless fax, making e-books, trimming and straightening edges. Its perfect solution makes office work easier, faster, and more environmentally friendly.
Speaking of high-speed cameras, let's talk about their OCR text recognition function. OCR text recognition function is a technology that uses optical methods to convert text in paper documents into black and white dot matrix image files, and uses recognition software to convert the text in the image into text format for further editing and processing by word processing software. By using a high-speed scanner, it is easy to convert paper document content into electronic documents, saving the tedious input process and improving office efficiency. Under normal circumstances, the accuracy of high-speed scanner text recognition can reach over 95%, but in some cases, the accuracy of text recognition may be lower than the normal level. So how can we improve the text recognition rate of high-speed cameras?
Specific steps to improve recognition rate
Firstly, ensure that the scanning environment has sufficient lighting. If it is in a low light environment, turn on the high-speed scanner LED fill light to fill in the light.
Secondly, the font of the original manuscript must be clear and visible, and the content should mainly be in Chinese, English, and numbers. If it is handwritten text, the recognition rate will be greatly reduced.
Thirdly, adjust the image quality and resolution of the high-speed camera equipment to the highest level to ensure that the generated images are clear and visible.
Fourthly, OCR generally performs poorly in color recognition, with black and white images being more prominent. Therefore, it is recommended to shoot in black and white mode before proceeding with recognition.
Note: The recognition rate of OCR is not 100%. For recognized documents, users need to recalibrate them to avoid unnecessary loss of incorrect document information.