In recent years, the financial industry is still facing severe fraud risk situation, and new fraud means emerge in endlessly. Under the new normal of stricter industry supervision, financial institutions continue to increase their investment in risk management and control. The first step of risk control is to verify the authenticity and legitimacy of the user's identity, which is the so-called KYC (know your customer) process.
At present, with the development and application of fingerprint recognition, face recognition, OCR recognition and other cutting-edge technologies, the KYC process of identifying and verifying the user's identity is gradually becoming digital and electronic, and e-kyc has become the "rigid demand" of the financial industry. Based on the e-kyc solution, the real name system of users is implemented, the identity of users is confirmed, and all processes and transactions of financial business are realized online remote.
Verifying the identity and behavior of customers is an important part of KYC. In order to ensure the authenticity of customers, EKEMP provides a biometric identification terminal integrated with fingerprint reader, face reader and smart card scanner, which compares the collected biometric information with the established identity database to help banks confirm the real identity of customers and minimize the risk of identity theft and financial fraud.
EKEMP's intelligent e-kyc solution covers three services:
Based on face recognition technology, the similarity between the photos uploaded by users and ID card photos is compared to verify whether the person and ID card are unified subjects; It supports the comparison of ID cards (including ethnic minorities) in China and the documents of aadhaar card and PAN card in India.
The biometric identification terminal of EKEMP integrates the optical fingerprint scanner of suprema FAP20 certification, supports the real-time fingerprint detection (LFD) technology, provides fast and accurate fingerprint acquisition and verification.
Automatically identify and extract core field information on identity documents or passports, including name, gender, address, date of birth, ID number, date of issue, etc., to help the platform extract user information efficiently and accurately. It supports the identification and extraction of domestic ID cards (including ethnic minorities) and Indian aadhaar card and PAN card.