基于轻量神经网络的指静脉密钥生成方法OA北大核心CSTPCD

Aiming at the problems of easy disclosure of template information,low accuracy performance,complexity,and difficulties in generating biometric key,a finger vein key generation method based on lightweight neural network was proposed.Taking the in-verted residual bottleneck structure as the core,a lightweight neural network was proposed,the finger vein image training processing was combined with label smoothing cross-entropy.In the key generation module,a random selection module was proposed to gener-ate new keys quickly.Finally,error correction technology and security hash algorithm were used to solve the instability of network feature extraction and enhance the security of key generation method.This method has been verified in three public databases,and the false acceptance rate of the proposed method to generate a 512-bit key is 0.843%-1.469%,the false rejection rate is 0.651%-1.524%,and the key generation time does not exceed 0.3 s,which shows superior performance than other methods.Security analy-sis shows that the proposed model can effectively resist information leakage,cross-matching and other attacks.Theoretical analysis and experimental results show that the proposed method has the properties of strong generalization ability,high key generation accu-racy,short generation time and high security.