[PDF] Top 20 Vehicle Recognition Based On Convolutional Neural Network

Vehicle Recognition Based On Convolutional Neural Network

... of vehicle image recognition as an ...the convolutional neural network input, the images of three kinds of models are normalized to 100×80 pixels size picture, and then transform into ... See full document

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Recognition of Handwritten Characters based on Deep Learning with Tensorflow

... Handwritten recognition is very complicated because of miscellaneous human handwriting, different size and shape of letters, ...Deep Neural Network based Convolutional Neural ... See full document

6

Recent Trends and Insight Towards Automated Identification of Plant Species

... leaf- 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 ...Artificial ... See full document

7

Android-Based Rice Variety Classifier (Arvac) Using Convolutional Neural Network

... In recent years, the emergence of smartphones has changed the definition of mobile phones. The phone is no longer just a communication tool, but also an essential part of the people’s communication and daily life. ... See full document

5

Face Recognition using Machine Learning

... face recognition is of great importance. Deep learning based methods have shown better performance in terms of accuracy and speed of processing in image recognition compared to traditional machine ... See full document

5

A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM

... An ear recognition method is proposed by Revaud et al. [18], which uses the Scale-Invariant Features Transform (SIFT) method to detect features and create descriptors for them. These features are extracted for the ... See full document

10

Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network

... We developed a web-based CAD system for patients and ophthalmologists at Zhong- shan Ophthalmic Center at Sun Yat-sen University to promote future clinical application use of our model. The website provides ... See full document

20

Research on road extraction of remote sensing image based on convolutional neural network

... target recognition, image segmentation ...applied convolutional neural networks to target recognition inlarge scale natural ...target recognition usingconvolutional neural ... See full document

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Iris Recognition using Convolutional Neural Network Design

... for recognition rate with state of art approaches. The recognition rate obtained is summarized in table ...iris recognition. The softmax classifier classifies the images based on the computed ... See full document

7

Text Recognition using Convolutional Neural Network: A Review

... The proposed structured of the survey is a three layer architecture. First is the input layer which receives input from the segmented character images of standard size. Second layer is a hidden layer, this layer is use ... 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

Optimization of Convolutional Neural Network Target Recognition Algorithm

... target recognition in images is the core of pattern recognition and artificial ...deep neural network (DNN) has become a new hot area in machine ...image recognition algorithm ... See full document

8

Handwritten Digit Recognition: Convolutional Neural Network as a Classifier

... layers Neural networks in general and CNNs in particular rely on a non-linear “trigger” function to signal distinct identificationof likely features on each hidden ...overall network without affecting the ... See full document

6

Facial expression recognition by using modified convolutional neural network (mcnn) and modified gabor filter

... from convolutional and subsampling layers sometimes are good and equivalent for the classification task, but it is better when those features are combined ... See full document

8

Convolutional neural network-based automatic image recognition for agricultural machinery

... Image normalization is a method commonly used for dataset pre-processing in computer vision technology, following the basic idea of seeking a group of parameters that are able to eliminate the impact of other ... See full document

7

3D Convolutional Neural Network for Object Recognition

... object recognition models have its origin in the ...est recognition frameworks were created on geometry-based models ...3D recognition has first used for RGB-D images, where depth is treated ... See full document

8

Robust Face Recognition Based on Convolutional Neural Network

... Maxout network that the maximum feature map activation function (MFM) is derived in order to replace the close representation of the ReLU sparse ...the network to better global ... See full document

6

An algorithm for highway vehicle detection based on convolutional neural network

... for vehicle detection, because the vehicle scale change is ...our network, as shown in ...a convolutional layer is grafted on back- bone layer of conv6 to guarantee that the inputs have the ... See full document

7

A Convolutional Neural Network for Handwritten Digit Recognition

... The convolutional layer is the essential layer of the ...the convolutional layer is called kernel, filter or neuron, and this element, which is a square matrix smaller than the image itself, is in charge of ... See full document

9

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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