OCR (Optical Character Recognition, Optical Character Recognition) is a technology that converts text in an image into editable and searchable text. Its origins can be traced back to the 1950s.
The early OCR technology was mainly based on the template matching method, that is, to match the characters in the image with the predefined character templates. However, due to the influence of font, size, angle, lighting and other factors, this method has certain limitations.
With the development of computer vision technology, OCR ushered in a major breakthrough in the 1980s. A new method is introduced, based on the principles of feature extraction and pattern recognition. This method uses digital image processing technology to perform character recognition by extracting character feature information, such as outlines and corner points.
With the continuous advancement of computer hardware and algorithms, the recognition accuracy of OCR has also been significantly improved. Over the past few decades, OCR technology has been widely used, including text scanning and recognition functions on devices such as scanners, digital cameras, and smartphones.
In modern society, OCR has become an important technical basis and is widely used in various fields. For example, OCR technology can be used for digital document management in libraries and archives, check scanning and processing in banks, and document management in government agencies. In addition, OCR has also shown great potential in the fields of automatic driving and smart office.
In short, the development of OCR technology has brought revolutionary changes in the field of text recognition and processing, making it easy to convert a large number of paper documents into electronic texts, and providing convenience for subsequent information processing and analysis. #OCR Text Recognition#