[PDF] Top 20 Recognition of Brahmi words by Using Deep Convolutional Neural Network
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Recognition of Brahmi words by Using Deep Convolutional Neural Network
... CNN, achieving 77.01% [25] and 98.37% [26] accuracy, respectively, whereas Cecotti and Vajda [25] used 10,000 training datasets for 10 classes, i.e. 1,000 (average) samples for each type. Maitra, et al. [26] used 13,392 ... See full document
9
Integrated Animal Recognition and Detection Using Deep Convolutional Neural Network
... the Deep Convolutional Neural Network (DCNN) for the classification of the input animal images is ...proposals using multilevel graph cut in the spatiotemporal ...model using ... See full document
7
Oracle-Bone Inscription Recognition Based on Deep Convolutional Neural Network
... the recognition of oracle bone inscriptions ...of convolutional neural network (CNN) to describe image features, we design a CNN-based method to recognize ...the recognition of OBI ... See full document
9
Fruit Recognition Using Deep Convolutional Neural Network With Color Feature
... Convolution Neural Network is one kind of artificial network, which is helpful in image identification, classification, extraction and processing the ...Artificial Neural Networks uses ... See full document
5
Face recognition with Bayesian convolutional networks for robust surveillance systems
... the recognition accuracy of unconstrained fa- cial images [7] using different classification techniques such as support vector machine (SVM) [8], stochastic modeling [9], neural networks [10] and ... See full document
10
Blind Navigation System using Artificial Intelligence
... artificial neural networks (SIANN), due to their shared-weight architecture and translation invariance ...The deep convolutional neural network can achieve reasonable performance on ... See full document
5
Discerning Facial Expressions Using CK+
... expression recognition system using deep ...a Deep Convolutional Neural Network (CNN) to devise a facial expression recognition system, which is capable to discover ... See full document
5
Deep Convolution Neural Networks for Automatic Eyeglasses Removal
... face recognition performance. Inspired by the success of deep convolutional neural networks (DCNN) on super resolution, in this paper, a method based on deep convolutional ... See full document
8
Classification of Age and Gender using Deep Learning
... forward neural system, while an unbounded motivation intermittent system is a directed cyclic graph that can not be ...methods. Convolutional Neural Network(CNN)- In pattern recognition ... See full document
6
The Understanding of Convolutional Neuron Network Family
... computers. Convolutional Neural Network (CNN) is one of the most popular algorithms in the field of Deep ...text recognition and other aspects of the ...theory, Convolutional ... See full document
8
Recognition of Handwritten Characters based on Deep Learning with Tensorflow
... Artificial Neural Network (ANN) and Deep Learning has brought a massive twist in the field of Machine Leaning, in recent ...in Deep Learning is mainly due to the new state-of-art innovations ... See full document
6
Recent Trends and Insight Towards Automated Identification of Plant Species
... based recognition is more common and reliable as it is claimed to be easily accessible and abundant compared to other plant morphological structures such as flowers, barks or ...from using the leaf, the ... See full document
7
Text Recognition using Convolutional Neural Network: A Review
... a network size of 189�160�36 was configured for this ...feedforward network was determined, the network was trained and tested in ...other words, the network has not seen the testing ... See full document
5
Three-dimensional convolutional restricted Boltzmann machine for human behavior recognition from RGB-D video
... three-dimensional convolutional restricted Boltzmann machine (3DCRBM) is proposed which can extract features from the raw RGB-D ...3D convolutional kernels can be applied to these four frames to extract ... See full document
11
A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... ear recognition method, which measures the similarity between the input ear image and the ear images of known individuals in a ...optimized using Particle Swarm Optimizer (PSO), which is used to reduce the ... See full document
10
Finger Vein Authentication System using Convolutional Neural Network
... done using the distance classifier which is the difference between features of different or same images of finger vein and the difference is compared with the threshold ... See full document
7
Vision based human action recognition using machine learning techniques
... Inspired by the dense sampling in image classification, the concept of dense trajectories for action recognition from videos was introduced [68]. The authors sampled the dense points from each image frame and ... See full document
173
Diabetic Retinopathy Stage Classification using CNN
... Convolutional Neural Networks (CNN) is an architecture of Artificial Neural Networks (ANN) mostly used for image ...regular Neural Networks like convolution, nonlinearity, and ...map, ... See full document
6
Iris Recognition using Convolutional Neural Network Design
... Iris recognition system can been deployed in application areas, border control, banking, national ID cards, expedition of passengers from custom, restricted access, missing child identification, and welfare ... See full document
7
Firearm Recognition Using Convolutional Neural Network
... Closed circuit television systems (CCTV) are becoming more popular and are being deployed in many offices, housing estates and in the most public spaces. Monitoring systems have been implemented in many foreign cities. ... See full document
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