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This article mainly introduces the example analysis of face recognition algorithm in MATLAB, which has a certain reference value. Interested friends can refer to it. I hope you will gain a lot after reading this article.

Research on face recognition algorithm based on MATLAB

Nowadays, machine vision is becoming more and more popular, from intelligent transportation system vehicle recognition, license plate recognition to traffic sign recognition, from smart phone face recognition to gender recognition; nowadays, driverless cars use a large number of machine recognition algorithms in it.

Today we will start with the image recognition of MATLAB, and then we will explain license plate recognition and traffic sign recognition one after another, and strive to transplant it to FPGA to achieve high-speed real-time processing.

The process of MATLAB face recognition:

1.% read the image

2.% low-pass filtering to remove noise

3. Conversion of% color space

4. Calculation of probability of pixel value

5.% image corrosion

6. The expansion of the image

7.% remove non-face parts such as hands and feet according to the filling rate

8.% remove some smaller non-face parts according to the area ratio

9.% go out some non-face parts according to the aspect ratio of the skin color area

10.0% circle the face

Partial source code:

Clear allclose allclc%% read-in image x = imread ('boy1.bmp'); xx=x;figure,imshow (x);% low-pass filtering to remove noise fR=xx (:,: 1); fG=xx (:,: 2); fB=xx (:,: 3); f=1/9*ones (3) % / 2 / 2 / 3 / 2 / 2 / 3 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 2 / 3 / 2 / 2 / 3 / 2 / 2 / 3 / 2 / 2 / 3 / 2 / 3 / 2 / 3 / 2 / 3 / 2 / 3 / 2 / 3 / 3 / 2 / 3 / 2 / 3 / 2 / 3 / 3 / 2 / 3 / 3 / 2 / 3 / 3 / 2 / 3 / 3 / 2 / 3 / 3 / 3 / 2 / 3 / 3 / 3 / 3 / 2 / 3 / 3 / 3 / 2 / 3 / 3 / 3 / 3 / 3 / 3 / 2 / 3 / 3 / 3 / 3 / 3 / 3 / 3 /

Experimental results:

Original drawing

Low-pass filtering

Color space conversion rgbtoycbcr

Convert to grayscale image

Conversion of probability calculation to binary image

Corrosion expansion

Face recognition is successful after 7 steps, 8 steps, 9 steps and 10 steps

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