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Found 41 papers, 1 papers with code
Hand Biometrics in Digital Forensics
Biometric is a better solution to win over the problems encountered by digital forensics.
Finger Biometric Recognition With Feature Selection
The best identification accuracy of 98. 67%, and equal error rate (EER) of 4. 6% have been achieved using the subset of 25 features which are selected by the rank-based local FoBa algorithm.
Deep Neural Networks Fused with Textures for Image Classification
Fine-grained image classification (FGIC) is a challenging task in computer vision for due to small visual differences among inter-subcategories, but, large intra-class variations.
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis
The proposed SYD-Net has achieved state-of-the-art accuracy on Yoga-82 using five base CNNs.
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps.
Spoofing Detection on Hand Images Using Quality Assessment
A presentation attack detection approach is addressed by assessing the visual quality of genuine and fake hand images.
A Novel Approach for Human Action Recognition from Silhouette Images
In this paper, a novel human action recognition technique from video is presented.
Robust 3D face recognition in presence of pose and partial occlusions or missing parts
Features are extracted from the reconstructed non-occluded face images in the form of face normals.
A Gabor block based Kernel Discriminative Common Vector (KDCV) approach using cosine kernels for Human Face Recognition
Secondly, the nonlinear discriminating features are analyzed and extracted from the selected low-energized blocks by the generalized Kernel Discriminative Common Vector (KDCV) method.
Face Recognition using Hough Peaks extracted from the significant blocks of the Gradient Image
Finally the best fitted Hough peaks are extracted from the Hough transformed significant blocks for efficient face recognition.
Multi-Sensor Image Fusion Based on Moment Calculation
An image fusion method based on salient features is proposed in this paper.
An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition
Firstly, the new morphological features i. e., features based on number of runs of pixels in four directions (N, NE, E, NW) are extracted, together with the GLCM based statistical features and LDP features that are less sensitive to the noise and non-monotonic illumination changes, are extracted from the significant blocks of the gradient image.
A Face Recognition approach based on entropy estimate of the nonlinear DCT features in the Logarithm Domain together with Kernel Entropy Component Analysis
This paper exploits the feature extraction capabilities of the discrete cosine transform (DCT) together with an illumination normalization approach in the logarithm domain that increase its robustness to variations in facial geometry and illumination.
Human Face Recognition using Gabor based Kernel Entropy Component Analysis
In this paper, we present a novel Gabor wavelet based Kernel Entropy Component Analysis (KECA) method by integrating the Gabor wavelet transformation (GWT) of facial images with the KECA method for enhanced face recognition performance.
High Performance Human Face Recognition using Gabor based Pseudo Hidden Markov Model
Unlike the traditional zigzag scanning method for feature extraction a continuous scanning method from top-left corner to right then top-down and right to left and so on until right-bottom of the image i. e. a spiral scanning technique has been proposed for better feature selection.
Geometric Feature Based Face-Sketch Recognition
In this system, first the facial features/components from training images are extracted, then ratios of length, width, and area etc.
Automatic White Blood Cell Measuring Aid for Medical Diagnosis
The objective of this work is to automate the blood related pathological investigation process.
Medical Aid for Automatic Detection of Malaria
The analysis and counting of blood cells in a microscope image can provide useful information concerning to the health of a person.
A novel approach to nose-tip and eye corners detection using H-K Curvature Analysis in case of 3D images
In this paper we present a novel method that combines a HK curvature-based approach for three-dimensional (3D) face detection in different poses (X-axis, Y-axis and Z-axis).
Detection of pose orientation across single and multiple axes in case of 3D face images
In this paper, we propose a new approach that takes as input a 3D face image across X, Y and Z axes as well as both Y and X axes and gives output as its pose i. e. it tells whether the face is oriented with respect the X, Y or Z axes or is it oriented across multiple axes with angles of rotation up to 42 degree.
A novel approach for nose tip detection using smoothing by weighted median filtering applied to 3D face images in variant poses
In this present smoothing technique we have built the neighborhood surrounding a particular point in 3D face and replaced that with the weighted value of the surrounding points in 3D face image.
A method for nose-tip based 3D face registration using maximum intensity algorithm
In this paper we present a novel technique of registering 3D images across pose.
A Novel Approach in detecting pose orientation of a 3D face required for face
All the experiments have been performed on the FRAV3D Database.
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.
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.
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.
Next Level of Data Fusion for Human Face Recognition
This paper demonstrates two different fusion techniques at two different levels of a human face recognition process.
High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach
In this paper, we present a technique by which high-intensity feature vectors extracted from the Gabor wavelet transformation of frontal face images, is combined together with Independent Component Analysis (ICA) for enhanced face recognition.
A Parallel Framework for Multilayer Perceptron for Human Face Recognition
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks.
Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study
Here, coefficients of discrete wavelet transforms from both visual and thermal images are computed separately and combined.
Face Synthesis (FASY) System for Determining the Characteristics of a Face Image
This paper aims at determining the characteristics of a face image by extracting its components.
Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition
This paper investigates the multiresolution level-1 and level-2 Quotient based Fusion of thermal and visual images.
Fusion of Daubechies Wavelet Coefficients for Human Face Recognition
The main advantage of using wavelet transform is that it is well-suited to manage different image resolution and allows the image decomposition in different kinds of coefficients, while preserving the image information.
Image Pixel Fusion for Human Face Recognition
In this paper we present a technique for fusion of optical and thermal face images based on image pixel fusion approach.
Classification of Fused Images using Radial Basis Function Neural Network for Human Face Recognition
In this method fused images are generated using visual and thermal face images in the first step.
Human Face Recognition using Line Features
Here, we have used thermal face images as those are capable to minimize the affect of illumination changes and occlusion due to moustache, beards, adornments etc.
Classification of Polar-Thermal Eigenfaces using Multilayer Perceptron for Human Face Recognition
This paper presents a novel approach to handle the challenges of face recognition.
Face Synthesis (FASY) System for Generation of a Face Image from Human Description
This paper aims at generating a new face based on the human like description using a new concept.
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
To reduce further we have applied feature selection method to select indispensable features, which will remain in the final feature vectors.
