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A Hybrid Convolutional Neural Network with Meta Feature Learning for Abnormality Detection in Wireless Capsule Endoscopy Images
In this study, a hybrid convolutional neural network is proposed for abnormality detection that extracts a rich pool of meaningful features from wireless capsule endoscopy images using a variety of convolution operations.
Thermal Human face recognition based on Haar wavelet transform and series matching technique
Therefore this paper describes an efficient approach of human face recognition based on wavelet transform from thermal IR images.
A Comparative Study of Human thermal face recognition based on Haar wavelet transform (HWT) and Local Binary Pattern (LBP)
In the first approach, the training images and the test images are processed with Haar wavelet transform and the LL band and the average of LH/HL/HH bands sub-images are created for each face image.
Automated Thermal Face recognition based on Minutiae Extraction
Image processing methods are used to pre-process the captured thermogram, from which different physiological features based on blood perfusion data are extracted.
Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm
Secondly face features are extracted from the croped region, which will be taken as the input of the back propagation feed forward neural network in the third step and classification and recognition is carried out.
Minutiae Based Thermal Face Recognition using Blood Perfusion Data
A distribution of blood vessels are unique for each person and as a set of extracted minutiae points from a blood perfusion data of a human face should be unique for that face.
