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eKYC
DocumentationeKYCAPI DocumentationIntroduction
Introduction
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Last updated: 2025-03-07 18:09:32
Introduction
Last updated: 2025-03-07 18:09:32
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Product Overview

Tencent Cloud eKYC (formerly Financial-grade Identity Authentication) solution relies on ID OCR recognition, liveness detection, and 1:1 face comparison AI technologies to verify the true identity of individuals. It confirms user identity within seconds, helping to improve business efficiency and reduce labor costs.

Description of the Feature

FaceID provides you with OCR, liveness detection, and 1:1 face comparison services, which can be flexibly combined according to your needs.

1. Comparison with authoritative databases

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2. Compare with uploaded photo

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ID card OCR recognition

Supports recognition of the ID card, returning all fields such as ID number, name, and validity period in one scan. The accuracy of digital recognition exceeds 99.9%, leading in multiple fields. It handles skew, low light, exposure, and shadow conditions with high stability, and adaptive correction technology greatly improves recognition accuracy.

Liveness Detection

Liveness detection analyzes a real-time recorded video of a selfie to confirm if the current user is a live person. It is designed to meet the high security requirements of facial recognition verification and prevent various types of attacks such as photos, videos, and static 3D models. Currently, it supports multiple liveness modes including lip reading, motion, and silent detection, suitable for various verification scenarios.

Face Comparison

Face comparison calculates the similarity between two faces based on facial features to automatically verify identity. Leveraging the massive facial training dataset collected from Tencent's social data platform and combining high-dimensional LBP, PCA, LDA joint Bayesian, metric learning, transfer learning, and deep neural networks, it achieved 99.80% accuracy in the LFW 2017 evaluation. It supports recognition and verification in multiple scenarios, with good performance in age, pose, and light intensity variations.

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