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Sketch-Photo Matching using Feature Descriptors and VGG-16

Nilambari Narkar, Lissha Gasper, Adrian Menezes, Mansi Patil

Abstract


Automatic facial image retrieval from police facial photos is very important for legal clearance. You will cooperate effectively with investigators to find or hone potential crime suspects. Super large facial sketch data set data can identify facial images in "Facial Sketch Recognition" and propose two facial sketch recognition technologies in this article. The first includes the use of feature descriptors like HOG and GLCM for feature extraction. The results obtained from the two descriptors are concatenated together. The latter method involves Vgg16 as a feature extraction technique. In both the methods mentioned above matching between the sketch features and photo features is performed using cosine similarity metric.

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References


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