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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
Pay treasure bank card recognition principle
With said payment under the principle of recognizing bank card treasure.
Pay treasure bank card recognition principle
Alibaba is relatively early in the integrated payment bank card recognition treasure APP, in consideration of the payment amount of users treasure grew relatively fast, and each user has multiple cards, if you want a card to enter the binding, is undoubtedly a very troublesome. Integrated bank card identification number SDK recognition can sweep the bank card number recognition.
Here we introduce in detail the principle of bank card number scanning recognition technology. (Alipay.com, micro channel bank card recognition principle is the same)
The main steps are as follows:
1 take map: at present, the main way is to use the video preview, the video of the needle, take a clear picture of the color of a needle. Also is the mobile phone camera scan interface in real time, the main way is to determine whether the border by the bank card has been placed in the designated box, so that can get a better quality of the picture.
2 image preprocessing: here is mainly to noise (including gray processing) and binarization, and ultimately leaving only black and white.
3 industry positioning: binarization is completed, the need to locate the bank card number of the industry.
4 character segmentation: the bank card number of a single digit segmentation (segmentation is actually a major difficulty in OCR Technology)
5. Font matching identification: this step is only the segmentation after the completion of the single digital and character of the numerical template comparison, take the highest confidence value.
6 output pre check: mainly uses the Luhn algorithm to carry on the verification, after the verification, carries on the output. (here in detail Luhn algorithm: all the bank cards issued by the bank are the verification rules, the best one is the card number. Mainly in accordance with the following rules:
1) from the last digit of the card number, the reverse will be odd numbers (1, 3, 5, etc.).
2) from the last digit of the card number, the reverse will be even digital, first multiplied by 2 (if the product is two digits, then subtract 9), and then sum.
3) the odd bit sum plus even digit sum, the result should be divisible by 10).
7: output: output string.
The whole recognition process is over, I believe you can understand the knowledge. Although it is easy to say, but there are many details of the process is still need a strong technical accumulation. That's why so many companies have used my company's bank card to identify the reasons for SDK.
Mobile phone: 13146317170
E-Mail:Liaorj@wintone.com.cn
Alibaba is relatively early in the integrated payment bank card recognition treasure APP, in consideration of the payment amount of users treasure grew relatively fast, and each user has multiple cards, if you want a card to enter the binding, is undoubtedly a very troublesome. Integrated bank card identification number SDK recognition can sweep the bank card number recognition.
Here we introduce in detail the principle of bank card number scanning recognition technology. (Alipay.com, micro channel bank card recognition principle is the same)
The main steps are as follows:
1 take map: at present, the main way is to use the video preview, the video of the needle, take a clear picture of the color of a needle. Also is the mobile phone camera scan interface in real time, the main way is to determine whether the border by the bank card has been placed in the designated box, so that can get a better quality of the picture.
2 image preprocessing: here is mainly to noise (including gray processing) and binarization, and ultimately leaving only black and white.
3 industry positioning: binarization is completed, the need to locate the bank card number of the industry.
4 character segmentation: the bank card number of a single digit segmentation (segmentation is actually a major difficulty in OCR Technology)
5. Font matching identification: this step is only the segmentation after the completion of the single digital and character of the numerical template comparison, take the highest confidence value.
6 output pre check: mainly uses the Luhn algorithm to carry on the verification, after the verification, carries on the output. (here in detail Luhn algorithm: all the bank cards issued by the bank are the verification rules, the best one is the card number. Mainly in accordance with the following rules:
1) from the last digit of the card number, the reverse will be odd numbers (1, 3, 5, etc.).
2) from the last digit of the card number, the reverse will be even digital, first multiplied by 2 (if the product is two digits, then subtract 9), and then sum.
3) the odd bit sum plus even digit sum, the result should be divisible by 10).
7: output: output string.
The whole recognition process is over, I believe you can understand the knowledge. Although it is easy to say, but there are many details of the process is still need a strong technical accumulation. That's why so many companies have used my company's bank card to identify the reasons for SDK.
At present, the use of our bank card recognition technology companies have:
Welcome to exchange, if necessary, SDK can communicate by telephone:
Contact: Liao RenjunMobile phone: 13146317170
E-Mail:Liaorj@wintone.com.cn