Method and device for identifying sketch face

Abstract

The invention discloses a method and a device for identifying sketch face and belongs to the field of face identification. The method comprises the following steps: obtaining face training samples, filtering, carrying out LBP (Local Binary Patterns) processing and blocking, then grouping the face training samples into N groups, and setting weight for each group; training N groups of LBP images; calculating the weighting error rate of each sub-block according to a matching degree, between a sketch image and a visible image, of sub-blocks in the same position and selecting the sub-block with the minimum weighting error rate and then adjusting the weight of each group; circularly training till the identification rate reaches an assigned value and recording the information, obtained by training for each time, of the sub-block with the minimum weighting error rate; calculating weighting LBP distance between the to-be-identified sketch image and each test sample according to the information of the sub-block when the to-be-identified sketch image is input, and taking the test sample with the minimum weighting LBP distance as an identification result. The device comprises an initial processing module, a training module and an identification module. By adopting the method and the device for identifying the sketch face, the sketch face identification complexity is reduced; the identification efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a method and device for sketch face recognition. Background technique [0002] Heterogeneous face recognition is a branch of the field of face recognition, and it is also a new research hotspot and difficulty in the field of face recognition in recent years. Different from traditional face recognition, heterogeneous face recognition refers to a face recognition based on the different acquisition methods of the image in the recognition database and the target image to be recognized. For example, the target to be recognized is an infrared image, a depth image or a sketch image, etc., while the recognition library is a visible light image, etc. Sketch face recognition is a kind of heterogeneous face recognition. It refers to the process of identifying a person's visible light photo and its corresponding sketch image, and finally achieves the process of finding the corresponding pers...

AI Technical Summary

Problems solved by technology

[0005] However, the above method is biased towards numerical analysis, using image matrix data to obtain classification features, and using classification features to bring back image blocks to obtain classification results. The complexity of the algorithm is high, which affects the recognition efficiency

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