News classification
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- Add: No. 9, North Fourth Ring Road, Haidian District, Beijing. It mainly includes face recognition, living detection, ID card recognition, bank card recognition, business card recognition, license plate recognition, OCR recognition, and intelligent recognition technology.
- Tel: 13146317170 廖经理
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- Email: 398017534@qq.com
Text recognition
Text recognition
Text recognition
Text recognition 1. Bank card OCR identification:
This kind of technology is a technology that has been launched since 2014. It is mainly used for mobile payment binding. It is a very technically-subdivided OCR technology. Some APPs are already in use, such as Lakara, Pleasant Loan, Alipay. WeChat and so on.
Text recognition 2. Business card OCR recognition:
This type of technology is also very mature, and there are many apps for business card management on the market, and most of them have already used such technologies.
Text recognition 3. Document OCR recognition:
This type of PC is based on the beginning. In recent years, it has been developing to the mobile side. There are mainly SDKs for android and ios platforms. Currently, there are ID card identification, driving license identification, driver license identification, passport identification and so on.
Text recognition 4. Bill class OCR recognition:
This kind of technology is mainly for bills of different formats, mainly based on the template mechanism. It is necessary to customize different identification elements for different bills. This technology is also called element recognition OCR. The earliest use is the banking industry, mainly in the banking industry. There are very successful applications in the bank's post-supervisor.
Text recognition 5. Handwritten OCR recognition:
In fact, handwritten OCR can be divided into two categories, one is written handwriting recognition, this kind of technology is not well applied, only because everyone's handwriting habits are not the same. At present, it is possible to recognize the numbers and letters that are handwritten, because these differences are not too big, and the handwritten man is still very difficult. The second category is online handwriting technology: online handwriting technology has been very well applied, and various handwriting input methods are based on this technology. Some people may ask, at the same time handwritten text recognition, in order to online handwriting recognition is very good, in fact, there are two points, one is that online handwriting is single word recognition, no need to do the split, the most difficult thing in OCR is not the identification, but the character Segmentation. Second, because the online handwriting technology is a single word selection, some people make judgments. So the application is very wide.
Text recognition 4. Document OCR recognition:
In fact, the earliest time OCR was the main identification document, mainly for books, newspapers, etc., to electronically these paper documents. However, this type of technology is mainly developed on the basis of scanners, and the recognition rate is also very high. The OCR recognition of the document on the mobile side has also been successfully applied in recent years.
Text recognition 1. Bank card OCR identification:
This kind of technology is a technology that has been launched since 2014. It is mainly used for mobile payment binding. It is a very technically-subdivided OCR technology. Some APPs are already in use, such as Lakara, Pleasant Loan, Alipay. WeChat and so on.
Text recognition 2. Business card OCR recognition:
This type of technology is also very mature, and there are many apps for business card management on the market, and most of them have already used such technologies.
Text recognition 3. Document OCR recognition:
This type of PC is based on the beginning. In recent years, it has been developing to the mobile side. There are mainly SDKs for android and ios platforms. Currently, there are ID card identification, driving license identification, driver license identification, passport identification and so on.
Text recognition 4. Bill class OCR recognition:
This kind of technology is mainly for bills of different formats, mainly based on the template mechanism. It is necessary to customize different identification elements for different bills. This technology is also called element recognition OCR. The earliest use is the banking industry, mainly in the banking industry. There are very successful applications in the bank's post-supervisor.
Text recognition 5. Handwritten OCR recognition:
In fact, handwritten OCR can be divided into two categories, one is written handwriting recognition, this kind of technology is not well applied, only because everyone's handwriting habits are not the same. At present, it is possible to recognize the numbers and letters that are handwritten, because these differences are not too big, and the handwritten man is still very difficult. The second category is online handwriting technology: online handwriting technology has been very well applied, and various handwriting input methods are based on this technology. Some people may ask, at the same time handwritten text recognition, in order to online handwriting recognition is very good, in fact, there are two points, one is that online handwriting is single word recognition, no need to do the split, the most difficult thing in OCR is not the identification, but the character Segmentation. Second, because the online handwriting technology is a single word selection, some people make judgments. So the application is very wide.
Text recognition 4. Document OCR recognition:
In fact, the earliest time OCR was the main identification document, mainly for books, newspapers, etc., to electronically these paper documents. However, this type of technology is mainly developed on the basis of scanners, and the recognition rate is also very high. The OCR recognition of the document on the mobile side has also been successfully applied in recent years.