Hash-based Search Over Large-scale Police Facial Images

The standard face image data is an important part of the basic database in the process of public security informatization.By extracting the existing face images in population management,bayonet management,community management and other systems,the multi-Face recognition system for processing and identification,can quickly detect and timely warning of effective suspicious clues.But the existing portrait database is the lack of safe and efficient use of the model.The bottleneck is how to extract the basic portrait data,how to carry out the standard portrait data exchange,portrait data and classified information security fusion between different face recognition engines.An important method to solve this problem is based on the application of image Hashing based on the construction of the library system.With the system to enhance public security in the police portrait data security management,police large data storage and call,intelligent bayonet warning and other aspects of application performance,the formation of large-scale,universal,intelligent,informative new generation of high security Of the static portrait management system.This paper aims to explore the safe retrieval method of large-scale police portraits based on image hash.Through the construction of the static portrait management system,we can extract large-scale data such as face images and various classified information from all kinds of systems Depth analysis and depth mining,standardization of data resources,security,data fusion,and greatly improve the matching of a variety of face recognition engine and response speed.The system can be limited police resources from the random inventory,the sea investigation tactics,net-based community management and other simple and efficient labor to liberate,to enrich the analysis of the results of a comprehensive evaluation process to improve the information technology The efficiency of investigation.Based on image hash technology,this system combines multi-engine face recognition system to generate high-accuracy,early-warning information and high-precision information of high recognition rate by means of distributed data storage,fast data sorting,high-speed data calling and safety information distribution.A wealth of information technology investigation means.