Method and system for smart community face recognition

Abstract

The application provides a method and system for smart community face recognition. The method of the application includes: acquiring a face image of a target human body; performing edge detection on the face image, and dividing the face image into a plurality of regions according to a closed edge; performing texture extraction on a key region in the plurality of regions to generate a texture feature vector of the key region, wherein the key region being a face organ region determined according to a clustering rule; and comparing and recognizing the key region based on the texture feature vector, and then determining the identity information of the target human body. The method and system of the invention are a few in collected facial features, small in amount of calculation, simple in algorithm, and high recognition speed, thereby improving the speed of face recognition, adapting to actual conditions such as distributed low-configuration hardware resources, mass recognition objects andhigh-frequency triggering in a smart community scenario, and realizing face recognition in an efficient, reliable, fast and low-cost manner.

Description

technical field [0001] This application relates to the technical field of smart cities, in particular to a method and system for face recognition in smart communities. Background technique [0002] Smart community is an integral part of smart city technology, including smart buildings, smart homes, smart public services, etc. Community residents provide a safe, convenient, and comfortable living experience, and enhance the management and services of property, security, neighborhood committees, and public security agencies to the community, reduce human and material costs, and improve management efficiency. [0003] Realizing identity recognition is a basic requirement of smart communities, and it can play an important role in access control, personnel and house registration, owner-exclusive facilities and services, etc. of smart communities. Due to the rapid popularization of video surveillance in the community, many existing video surveillance equipment can already carry o...

AI Technical Summary

Problems solved by technology

The purpose of this application is to solve the problem that the face recognition method in the prior art needs to collect a large amount of face feature data during the recognition process, the amount of calculation is large and the algorithm is complex, resulting in slow recognition speed, large consumption of software and hardware resources, and high implementation cost. , to adapt to the actual conditions of distributed low-configuration hardware resources, massive recognition objects, and high-frequency triggers in smart community scenarios, and realize face recognition efficiently, reliably, quickly, and at low cost

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