Gender identification method and system based on face image
A face image and gender recognition technology, applied in the field of face recognition, can solve the problems of no processing method and low gender recognition accuracy.
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Embodiment 1
[0090] see figure 1 , the present invention discloses a gender recognition method based on a face image, the method comprises the following steps:
[0091] [Step S1] Face detection step.
[0092] In previous researches, most of the face detection algorithms are proposed on the basis of frontal face images. In order to better meet the needs of real life, the present invention adopts the Adaboost face detector with pyramid structure. The pyramid-structured face detector implements multi-pose face detection using a coarse-to-fine strategy.
[0093] In this pyramid structure, the top-level detector can detect faces in full poses, and the other layers can only detect faces in a certain pose, and the lower the layer, the more the detector can handle poses. The smaller the size, the more complex the structure; the higher the top level, the larger the range and the smaller the number of poses processed by the detector. In this way, the large background can be removed at each layer,...
Embodiment 2
[0142] In the gender recognition system of the present invention, the gender recognition of a face image can be specifically divided into four parts: a face detection module, an image preprocessing module, a facial feature extraction module and a gender classification module. image 3 shown. In the present invention, the face image is detected and calibrated first, then the median filter is used to remove noise, the composite LBP is used for feature extraction, and finally the gender is identified by the SVM model.
[0143] The core of gender recognition based on face images is the selection of feature extraction and classification methods. In previous studies, gender recognition based on facial features is mostly based on the feature extraction and classification methods of face recognition.
[0144]Because the actual environment has a great influence on the correct classification of face gender recognition, the obtained image must be preprocessed, that is, for any given ima...
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