Identity authentication method and device based on face feature hash
Through the identity authentication method based on facial feature hashing, the problem of facial data leakage and low recognition accuracy is solved, and safe, fast and accurate identity authentication is achieved to adapt to different environmental conditions.
CN119720162AActive Publication Date: 2025-03-28SHANGHAI JIAOTONG UNIV
7 Cites 0 Cited by
Patent Information
- Application Number
- CN202411539634.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-10-31
AI Technical Summary
Technical Problem
The existing face authentication technology has the risk of facial data leakage, and is affected by environmental factors such as light, angle, and occlusion, resulting in low recognition accuracy.
Method used
The identity authentication method based on face feature hash is adopted. By obtaining face images, extracting face features, quantizing the process, generating face feature hash values, and comparing them with the pre-stored target face feature hash values to verify the identity.
Benefits of technology
It realizes safe, fast and accurate identity authentication, reduces the risk of facial data leakage, and improves the robustness of identification, adapts to different lighting and angle conditions.
✦ Generated by Eureka AI based on patent content.
Abstract
The embodiment of the invention relates to the technical field of data processing and identity authentication, and provides an identity authentication method and device based on face feature Hash, and the method comprises the steps: obtaining a first face image and first user information of a current login first user, the first user information at least comprises first user identity information and a first text password; extracting a first face feature of the first face image, performing quantization processing on the first face feature to obtain a first face feature vector, and performing hash operation to obtain a first face feature hash value; verifying whether the first face feature hash value is consistent with a pre-stored target face feature hash value of the target user; if yes, verifying whether the first user identity information is consistent with pre-stored target user identity information; and if yes, determining that the identity authentication of the currently logged-in first user is passed. Therefore, safe, rapid and accurate identity authentication which is not constrained by illumination conditions is realized, and the user experience is improved.
Need to check novelty before this filing date? Find Prior Art