High-precision portrait recognition method and system for security and protection monitoring
A portrait recognition and security monitoring technology, applied in the field of portrait recognition, can solve the problems of incapable of real-time analysis of portrait information and poor recognition accuracy, and achieve the effects of improving efficiency, improving accuracy, and overcoming poor accuracy
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Embodiment 1
[0048] see figure 1 As shown, the present invention is a high-precision portrait recognition method for security monitoring, and the specific steps include:
[0049] S1: Collect face image sets and perform preprocessing operations to obtain face processing sets; specific steps include:
[0050] Obtaining the original image in the face image set, and cutting the original image according to a preset cutting size to obtain a cut image;
[0051] Perform grayscale correction on the cropped image to obtain the first processed image, and perform noise filtering on the first processed image to obtain the second processed image; wherein, the grayscale correction is realized based on the existing image grayscale algorithm, such as the one disclosed in the publication number CN105208362A Method; Noise filtering is realized based on existing image noise algorithms, such as non-local mean denoising algorithm;
[0052] Combining several second processed images to obtain a face processing ...
Embodiment 2
[0082] A high-precision portrait recognition system for security monitoring, including a collection preprocessing module, a feature extraction module, an analysis and calculation module, and a matching module; the collection and preprocessing module is used to collect face image sets and perform preprocessing operations to obtain face processing sets ; The feature extraction module is used to perform feature extraction on the face processing set to obtain the face extraction set, which contains the contour data and feature data of the face; the analysis and calculation module is used to analyze and calculate the face extraction set to obtain the face profile value and face value, analyze the face profile value and face value to obtain the analysis set; the matching module is used to match the analysis set with the pre-stored analysis data in the database to obtain the analysis result;
[0083] Compared with the existing technical solutions, in the embodiment of the present inve...
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