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Found 23 papers, 2 papers with code
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification
In this paper, we explore dark knowledge transfer approach using long short-term memory(LSTM) and CNN based assistant model and various deep neural networks as the teacher model, with a simple CNN based student network, in this domain of multi-script identification from natural scene text images.
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition
Finding local invariant patterns in handwrit-ten characters and/or digits for optical character recognition is a difficult task.
Optical Character Recognition
Optical Character Recognition (OCR)
A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network
Deep neural network-based architectures give promising results in various domains including pattern recognition.
Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach
In this work, a novel deep learning technique for the recognition of handwritten Bangla isolated compound character is presented and a new benchmark of recognition accuracy on the CMATERdb 3. 1. 3. 3 dataset is reported.
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals
In this work, 25 features are extracted based on different bays attributes of the convex hull of the digit patterns.
An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet
Appropriate feature set for representation of pattern classes is one of the most important aspects of handwritten character recognition.
A GA Based approach for selection of local features for recognition of handwritten Bangla numerals
In the current work we have developed a two-pass approach where the first pass classifier performs a coarse classification, based on some global features of the input pattern by restricting the possibility of classification decisions within a group of classes, smaller than the number of classes considered initially.
A two-pass fuzzy-geno approach to pattern classification
In this approach, an unknown pattern is classified by refining possible classification decisions obtained through coarse classification of the same.
Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set
The current research aims to evaluate the performance of the convex hull based feature set, i. e. 125 features in all computed over different bays attributes of the convex hull of a pattern, for effective recognition of isolated handwritten Bangla basic characters and digits.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
