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A facial mole detection method based on salient features

A detection method and remarkable technology, which is applied in the field of face recognition, can solve the problems such as the difficulty of extracting moles, and achieve the effect of simple operation, good recognition accuracy and high detection efficiency

Inactive Publication Date: 2017-11-10
QINGDAO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art, solve the problem that it is not easy to extract moles from face images, and seek to design and provide a method for detecting moles on faces based on salient features. In face images, using moles Reliable and accurate detection of moles on the face. The distinctive feature of moles is that several moles do not appear consecutively in a small range. In addition, the color of moles is usually black, and the appearance is a small oval. shape

Method used

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  • A facial mole detection method based on salient features
  • A facial mole detection method based on salient features
  • A facial mole detection method based on salient features

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Experimental program
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Embodiment 1

[0022] In this embodiment, the method for detecting moles in a face image with moles, moderate expressions, and sufficient illumination first normalizes the original face image to a 128×128 image, as shown in figure 1 As shown in (a), the image after LOG processing is obtained after convolution with a LOG template with a variance of 1 and a template size of 5×5, as shown in figure 1 (b), then take figure 1 0.25 times the maximum value of the image pixel in (b) is used as the threshold for threshold segmentation, and the obtained segmentation results are as follows figure 1 As shown in (c), the salient feature detection is finally performed in the segmented image, and the position of the obtained mole point is as follows figure 1 (d) shown.

Embodiment 2

[0024] In this embodiment, moles are detected in face images with moles, facial expressions, and insufficient illumination. First, the original face image is normalized to a 128×128 image, as shown in figure 2 As shown in (a), the image after LOG processing is obtained after convolution with a LOG template with a variance of 1 and a template size of 5×5, as shown in figure 2 (b), then take figure 2 0.4 times the maximum value of the image pixel in (b) is used as the threshold for threshold segmentation, and the obtained segmentation results are as follows figure 2 As shown in (c), the salient feature detection is finally performed in the segmented image, and the position of the obtained mole point is as follows figure 2 (d) shown.

Embodiment 3

[0026] In this embodiment, the mole in another face image is detected, and the original face image is first normalized to a 128×128 image, such as image 3 As shown in (a), the image after LOG processing is obtained after convolution with a LOG template with a variance of 1 and a template size of 5×5, as shown in image 3 (b), then take image 3 0.4 times the maximum value of the image pixel in (b) is used as the threshold for threshold segmentation, and the obtained segmentation results are as follows image 3 As shown in (c), the salient feature detection is finally performed in the segmented image, and the position of the obtained mole point is as follows image 3 (d) shown.

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Abstract

The invention belongs to the technical field of face recognition, and relates to a method for detecting nevus on human face based on salient features. By observing images of human faces, it is found that nevus on human face is relatively dim. Moles are generally elliptical. According to these characteristics of facial moles, the image of the face is preprocessed, and then the facial moles are detected. The operation is simple, the principle is scientific, the detection efficiency is high, the recognition accuracy is good, and the light band can be effectively avoided. Influences from the environment and interference from organs such as the eyes, nose, and mouth of the face.

Description

Technical field: [0001] The invention belongs to the technical field of face recognition, and relates to a method for detecting nevus on a human face based on a salient feature, which extracts mole points in a group of human face images under different illumination and interference conditions. Background technique: [0002] With the continuous progress of society and the urgent requirements for fast and effective automatic identity verification, biometric technology has developed rapidly in recent decades. As an inherent attribute of human beings, with strong self-stability and individual differences, biometric features have become the most ideal basis for automatic identity verification. The current biometric recognition technologies mainly include fingerprint recognition, retina recognition, iris recognition, gait recognition, vein recognition and face recognition. Compared with other recognition methods, face recognition has the characteristics of directness, friendliness...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/34
CPCG06V40/161G06V10/267
Inventor 王国栋徐洁潘振宽颜露新张金鹏
Owner QINGDAO UNIV