Resumen de Criminal law imputation path for biometric information
Biometric information is the information of human physiological and behavioural characteristics used for automatic identi-fication, state analysis and attribute estimation. It has the characteristics of uniqueness, stability, easy collection and publicinterest. Illegal acquisition, provision and use of biometric information may constitute an infringement of others’ personalrights, property rights, public order and even national interests. The civil code clearly expresses the importance and protec-tion of biometric information and distinguishes biometric information from general personal information, but the criminallaw has not responded to this in a timely manner. Based on the analysis of the minimum uncertainty neural network(MUNN) model, this article discusses the attribution object of biometric information and gives the path of attribution ofcriminal law under biometric information. The empirical results show that the number of misjudgements, the recognitionrate and the number of iterations of the MUNN model proposed in this study are 65, 93.5% and 1501, respectively, and theeffects are all optimal. Due to the insufficient response of the criminal law to biometric information, there are differencesin main charges and sentences, and the consistency is 50% and 75%, respectively.
