With the development of technology, it is more and more convenient for users to make online payments through the Internet. Usually online shopping, payment of utility bills, transfer and remittance, etc. all need to be bound to a bank card, but the 16-19-digit bank card number needs to be manually entered. The slow speed and error-proneness are always a "hard flaw" in online mobile payment. In order to create a high-quality payment experience for users of mobile commercial enterprises, simplifying operating procedures has become an important means to enhance the competitiveness of enterprises. Therefore, using Huawei's machine learning service bank card recognition function can solve this problem very well.

1. Business Introduction

HMS Core Machine Learning Service Bank Card Recognition Service is a process of using OCR algorithm to automatically identify bank card numbers by photographing bank cards through mobile terminals, and then automatically entering the identification content into the system. In this way, important text information such as the card number, validity period, and card issuer of the bank card can be obtained, and the video stream can be recognized at a 15-degree angle. This service cooperates with ID card recognition to provide users with practical functions such as real-name authentication, identity verification, and card number entry, reducing input costs and providing users with a more friendly operating experience.

DEMO demo

2. Scenario introduction

At present, many applications need to bind bank cards when making payments, such as banking apps, mobile payment apps, payment apps, and e-commerce apps. The bank card identification function of HMS Core machine learning service can quickly realize the structured identification of user bank card information, and output important bank card information in a format. use. For example, when a user wants to bind a bank card for online payment, using this service can quickly enter the bank card information, which is accurate and efficient, greatly reduces the probability of manual input errors, and improves the user experience.

3. Features

• Covers many cards: The bank card recognition service can quickly identify key information such as card numbers, covering common card types around the world, including UnionPay, American Express, Mastercard, Visa, JCB, etc.

• Accurate and fast recognition: The recognition accuracy of key fields is over 95%, and it only takes 566ms to recognize a card on average.

How to access Huawei Machine Learning Service?

The Huawei Machine Learning Service official website provides you with detailed documentation guidance .

Learn more details>>

Visit the official website of Huawei Developer Alliance
Get development guidance documents
Huawei Mobile Services Open Source Warehouse Address: GitHub , Gitee

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