| Summary: | 碩士 === 國立彰化師範大學 === 機電工程學系所 === 103 === The purpose of this thesis is to apply Android system as a development platform, combined with built-in image sensor device to capture face image as input, for facial skin characteristics analyzed using image processing. First, through the application of mobile devices(Apps), Second, proposed set of standard procedures for age recognition, for facial image processing features. Finalizing face detection, feature extraction, feature analysis and age recognition.
The research contains two stages. First, transform the color space in order to determine the skin area, based on the record of the face information marked facial feature location, then use Canny edge detection to calculate the contour of wrinkles. The image morphology and the median filter are used to preserve the original face contour and remove the noise. Then use wrinkle statistical results, combined with neural network, to achieve the effect of machine learning.
Finally, use 100 images with faces as neural network training sample, and then use the other 50 images as test case, the MAE result is 4.22.
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