https://github.com/auggen21/face-recognition
Face Recognition with HOG (Histogram of Gradients) and LDB (Local Difference Binary) features using SVM Classifier
https://github.com/auggen21/face-recognition
dataset face-detection face-detector face-recognition face-verification histogram histogram-of-oriented-gradients hog image-processing ldb matlab prediction svm svm-classifier
Last synced: about 1 year ago
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Face Recognition with HOG (Histogram of Gradients) and LDB (Local Difference Binary) features using SVM Classifier
- Host: GitHub
- URL: https://github.com/auggen21/face-recognition
- Owner: Auggen21
- Created: 2020-05-07T16:54:16.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-18T15:11:05.000Z (about 6 years ago)
- Last Synced: 2023-10-20T07:24:10.462Z (over 2 years ago)
- Topics: dataset, face-detection, face-detector, face-recognition, face-verification, histogram, histogram-of-oriented-gradients, hog, image-processing, ldb, matlab, prediction, svm, svm-classifier
- Language: MATLAB
- Homepage:
- Size: 63.8 MB
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Face Recognition
Face Recognition with HOG (Histogram of Gradients) and LDB (Local Difference Binary) features using SVM Classifier
Attribute faces contains 40 persons different images.
HOG and LDB features are generated and its classified using SVM. 98% accuracy obtained