指印多维信息人工智能诊断技术

作者：黄锐¹²³ 张梓渝² ³

单位：

1．西南政法大学物证技术重庆高校工程研究中心，重庆；
               2．西南政法大学刑事侦查学院，重庆；
               3．西南政法大学国家安全学院，重庆

关键词：指印多维信息；指印信息识别；人工智能；大数据
Finger printing multi-dimensional information; Fingerprint information recognition; artificial intelligence;
Big data
摘要：面对日益复杂而数量庞大的司法案件，司法鉴定工作面临前所未有的办案压力，而指印作为证据之王，其所面临的工作压力巨大，而传统指印鉴定和信息识别技术因运作缓慢低效而无法应对。为提高司法鉴定工作效率和结合大数据和人工智能时代的背景，指印多维信息人工智能诊断技术意蕴而生。指印多维信息识别技术是指一种将指印信息识别技术与大数据人工智能技术相结合而产生一种新型的司法鉴定技术。其工作原理是通过人工智能技术高效便捷地处理与指印信息相关的大量数据，并将这些数据信息进行串联、统计、追踪、合并、预测，从而快速形成指印持有者的信息图景，为司法鉴定工作节省经济成本以及时间成本。该技术的建成，不仅能提高鉴定工作效率，还能减少鉴定结果误差增加鉴定结论的可信度，从而帮助司法工作更好展开。
In the face of the increasingly complex and large number of judicial cases, judicial expertise is facing unprecedented pressure, and finger printing, as the king of evidence, is facing great pressure. However, the traditional fingerprint identification and information recognition technology cannot cope with it because of its slow and inefficient operation. In order to improve the efficiency of judicial identification and combine the background of big data and the era of artificial intelligence, the implication of finger printing multi-dimensional information artificial intelligence diagnosis technology is born. Fingerprint multi-dimensional information recognition technology refers to a new type of judicial identification technology produced by the combination of fingerprint information recognition technology and big data artificial intelligence technology. Its working principle is that a large number of data related to fingerprint information can be processed efficiently and conveniently by artificial intelligence technology, and these data and information can be concatenated, counted, tracked, merged and predicted, so as to quickly form the information picture of fingerprint holders. save economic cost and time cost for judicial identification work. The establishment of this technology can not only improve the efficiency of identification, but also reduce the error of identification results and increase the credibility of identification conclusions, so as to help judicial work to be better carried out.
DOI：http://doi.org/10.35534/cjsg.0102021
引用：黄锐，张梓渝．指印多维信息人工智能诊断技术［J］．刑事司法科学与治理．2020，1（2）:37-44．http://doi.org/10.35534/cjsg.0102021

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