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The main content of this article is to explain "what are the characteristics of NewOCR". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "what are the characteristics of NewOCR"?

NewOCR is a free online OCR (Optical coincidence recognition) service that helps users analyze the text in any image file uploaded and then convert the text in the image into text that can be easily edited on a computer. The site currently supports multiple languages.

NewOCR features:

1. No upload restrictions

2. It can be used without registration.

3. To ensure data security, all files uploaded by users will be deleted from the server and will not be retained.

4. Based on TesseractOCR engine

5. 106 recognition languages and font support

6, supported file formats: JPEG,JFIF,PNG,GIF,BMP,PBM,PGM,PPM,PCX;Unix compression, bzip2,bzip,gzip;TIFF,PDF,DjVu; DOCX,ODT files with images; multiple images in ZIP archives.

7. Output format: plain text (TXT), MicrosoftWord (DOC), AdobeAcrobat (PDF).

The origin of the concept of OCR

OCR (OpticalCharacterRecognition) is a process in which electronic devices (such as scanners or digital cameras) examine characters printed on paper, determine their shapes by detecting dark and bright patterns, and then use character recognition methods to translate shapes into computer text. That is, for printed characters, the text in the paper document is optically converted into a black-and-white dot matrix image file, and the text in the image is converted into a text format by recognition software. a technology for further editing and processing by word processing software. How to debug or use auxiliary information to improve the recognition accuracy is the most important topic in OCR, which leads to the emergence of the noun of ICR (IntelligentCharacterRecognition). The main indicators to measure the performance of an OCR system are: rejection rate, error rate, recognition speed, user interface friendliness, product stability, ease of use and feasibility.

The concept of OCR was first put forward by the German scientist Tausheck in 1929, and later the American scientist Handel also put forward the idea of using technology to recognize characters. The first researchers to study printed Chinese character recognition are Casey and Nagy of IBM Company. In 1966, they published the first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.

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