Rapid face detection identification method based on deep learning

Abstract

The invention discloses a rapid face detection identification method based on deep learning. The method comprises an offline network construction part and an online process design part. For the offline network construction part, a network structure designed in the method is distinguished from an existing method for using a single-scale template when face detection is carried out since detectors are respectively trained for different scales of faces, and the detectors with specific scales are trained and operate in a multi-task manner by using and constructing an image pyramid. For the online process design part, a real-time face feature buffer pool structure is established by designing a data structure thought of a list using FIFO, the mostly time-consuming real-time feature extraction part in the process is moved to the mostly front end of the whole process, an identity card reader for detecting identity cards is used as a trigger point, and a method for establishing a result matchingmapping table is proposed, innovation is carried out in three aspects, the time of the whole process is saved effectively, rapid face detection identification is realized, and accurate judgment whether persons and cards are unified is obtained.

Description

technical field [0001] The invention belongs to a digital image processing method, in particular to a fast face detection and recognition method based on deep learning. Background technique [0002] The research on face recognition technology began in the 1950s. As an important biometric identification technology, compared with iris recognition, fingerprint scanning, palm scanning and other technologies, face recognition technology is a high-precision, easy-to-use , high stability, difficult to counterfeit, and cost-effective biometric identification technology has extremely broad market application prospects and has been concerned by researchers. [0003] Since the concept of deep learning was proposed, related research has been carried out extensively, and great progress has been made in both theory and application. With the advent of the era of big data and the continuous improvement of computer computing power, the deep convolutional neural network is developing towards...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, and at the same time aim at the existing methods and the problem that the processing speed is too slow to meet real-time performance, by adopting the method of deep learning, a fast face detection feature extraction network is constructed, and based on this network, A complete set of identity authentication system that integrates face identification with ID card images can be compared in real time to quickly draw a conclusion on whether the identity card is integrated and achieve the purpose of rapid face detection and recognition.

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