OCR is the abbreviation of English Optical Character Recognition, which means optical character recognition, and can also be abbreviated as text recognition. This is an automatic text input method. It obtains the image information of characters on paper through optical input methods such as scanning and photographing, analyzes the morphological characteristics of characters by using various pattern recognition algorithms, converts printed materials such as bills, newspapers, books and manuscripts into image information, and then converts the image information into usable computer input technology by using character recognition technology. It can be applied to bank bills, a large number of written materials, archives, copywriting and other fields. It is suitable for automatic scanning, identification and long-term preservation of a large number of bill forms in banks, taxation and other industries. Compared with ordinary text, OCR technology is usually evaluated from four aspects: final recognition rate, recognition speed, correct understanding rate of layout and satisfaction degree of layout repair. Compared with forms and bills, recognition rate or overall pass rate and recognition speed are usually used as practical standards to measure ocr technology. With the rise of artificial intelligence, people seek to simplify their work, and OCR recognition technology can make it easier for people engaged in word work.

The following is the application of ocr in life and work.

1. document OCR recognition

The OCR recognition technology of documents was originally based on PC, and it began to develop to mobile terminals in recent years, mainly including SDK of android and ios platforms. At present, there are relatively mature ID card identification, driving license identification, driving license identification, passport identification and so on.

2. OCR recognition of bank cards

OCR recognition of bank cards is mainly used for binding mobile payment cards, which is a very technical subdivision OCR technology. At present, there are already some apps in use, such as Alipay and WeChat.

3. OCR recognition of business cards

The technology of business card OCR recognition is also very mature. At present, there are many business card management apps on the market, and most of them have already used this technology.

4. Document OCR recognition

In fact, OCR technology was first used to identify documents. Based on scanning technology, these paper documents are digitized, which are mainly used in books, newspapers and so on. At present, the recognition rate in Chinese and English is also very high. In recent years, it has also been used for mobile document recognition, which can be recognized by scanning.

5. Bill OCR recognition

As the name implies, bill OCR recognition is used for all kinds of bill recognition. Based on the template mechanism, different bills need to customize different identification elements. This technology is also called element recognition OCR. Originally used in banking, it is now used in enterprises, finance and telecommunications institutions.

6. license plate OCR recognition

License plate recognition technology is believed to be familiar to everyone. Intelligent transportation, residential parking lot, etc. It has a good application. The principle of license plate recognition is actually the process of OCR recognition and comparison of license plates. It is also a quite mature technology.

We are surrounded by words every day. For example, our work copy, books, certificates and product introductions are all composed of words. The application of ocr technology can make some work simple and intelligent, and it will accompany our life in the future and make our life more intelligent.