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https://link.springer.com/chapter/10.1007/978-3-642-29148-7_32
Haar wavelet transform is employed to obtain key points for distinct features, and the key points are analyzed. A subimage is utilized to represent gait features in each image, and employ Principal Component Analysis to reduce its dimensionalities. Finally, Support Vector Machine is employ to train and test, and it is helpful in analyzing features.Cited by: 1
https://www.researchgate.net/publication/252555219_Gait_Recognition_Based_on_Wavelet_Descriptors
This paper presents a new algorithm in gait identification based on Haar wavelet and Support Vector Machine. It solves the problem how to select key points and employs features to classify gaits.
https://www.sciencedirect.com/science/article/pii/S0031320310001317
Infrared gait recognition based on wavelet transform and support vector machine. ... invariant moments and skeleton theory were used to extract gait features. The support vector machine was employed to classify gaits. This proposed method was applied to the infrared gait database and achieved 78%–91% for the probability of correct recognition ...Cited by: 140
https://pdfs.semanticscholar.org/3d06/205e2d1ddea682fa92d75b276171c3fc4abe.pdf
Eye detection by Haar wavelet and Support Vector Machine. 2 Motivation Accuracy of the face recognition system depends on the accurate localization of the facial features. These facial features either are used a classi er directly or for normalizing the images. Out of …
https://ieeexplore.ieee.org/document/5610062/
Abstract: This paper proposes a Braille character recognition system, based on Haar feature extraction and Support-Vector Machine (SVM) classification. Braille documents are first scanned into full-color image. The images are then passed through a preprocessor which converts the images into grayscale images, and performs geometric correction.
https://www.researchgate.net/publication/264382149_Human_Gait_Analysis_and_Recognition_Using_Support_Vector_Machines
This paper proposes a gait recognition method using multiple gait features representations based on independent component analysis (ICA) and genetic fuzzy support vector machine (GFSVM) for the ...
https://www.researchgate.net/publication/223218418_Infrared_gait_recognition_based_on_wavelet_transform_and_support_vector_machine
Infrared gait recognition based on wavelet transform and support vector machine Article in Pattern Recognition 43(8):2904-2910 · August 2010 with 45 Reads How we measure 'reads'
https://www.researchgate.net/publication/283892352_Gait_Analysis_Using_a_Support_Vector_Machine_for_Lumbar_Spinal_Stenosis
Gait Analysis Using a Support Vector Machine for Lumbar Spinal Stenosis. ... fed to support vector machine for Parkinson's gait identification. ... feature vector. We have shown that Haar wavelet ...
https://www.sciencedirect.com/science/article/pii/S0957417413005824
HAAR wavelet and 1 D Log Gabor filter have been used for feature extraction. These extracted features were utilised for iris identification using the combined support vector machine and Hamming distance approach. The proposed approach also used parabola detection and trimmed median filter for the purpose of eyelid and eyelash detection.Cited by: 91
https://www.researchgate.net/publication/8345770_Wavelet_Support_Vector_Machine
Rank wavelet support vector machine (rank-WSVM) [27, 28] is proposed to apply in the classification of complex disturbances. A new method for the classification of PQ disturbances was proposed by ...
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