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Study of face data set
- Python 100%
| detect.py | ||
| haarcascade_frontalface_alt.xml | ||
| mouth_cascade.xml | ||
| README.md | ||
Face-study
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Study of neutral face dataset from: http://agingmind.utdallas.edu/facedb/view/neutral-faces[URL DEAD] -
Dataset file: Color Neutral jpg (11MB)[URL DEAD] -
Processed dataset: Color Neutral Processed (23MB)
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Accuracy: 82%
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Face Area : Mouth Area (Ratio) (bounding rectangle method) Average: 22.39

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Face Area : Mouth Area (Ratio) (lip contour method) Average: 54.30

Sample dataset example
- Sample dataset
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Detect face and mouth using Haar Feature-based Cascade Classifier
- Detect face
- Extract face and detect mouth
- Correct detection
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Extracted mouth region
- Thresholding to extract lips (Otsu's Binarization Method)
- Shi-Tomasi Corner Detection (In progress)
- Complete processed image (contours + Shi-Tomasi corner detection)







