[PDF] Top 20 Neural Network based Road Sign Recognition

Neural Network based Road Sign Recognition

... hybrid neural network solution for Road sign recognition which combines local image sampling and artificial neural ...is based on BAM for dimensional reduction and ... See full document

7

Face Recognition Based on DCT and RBF Neural Network

... face recognition method using k-means clustering, Principal Component Analysis (PCA) and RBF neural network ...face recognition method with a high recognition ...RBF neural ... See full document

11

NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS

... for recognition of Hindi, Punjabi or any other language ...the recognition of words, sentence and ...the recognition accuracy of our system by tuning the features drawn through feature extraction ... See full document

11

Artificial Neural Network Based Signature Recognition & Verification

... artificial neural network approach. Signatures are verified based on parameters extracted from the signature using various image processing techniques ...a neural network using error ... See full document

7

Vehicle Model Recognition Based on Convolutional Neural Network

... model recognition,to solve this,a vehicle model recognition method based on convolutional neural network (hereinafter referred to as CNN) is proposed in this ...The network ... See full document

6

NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION

... Inthe present method, 2D Haar wavelet is employed onnormalized iris image and some statistical features arecomputed from low frequency data [14]. Here, we have usedGray Level Co-occurrence Matrix (GLCM) based ... See full document

6

Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture

... the road and traffic sign recognition system has been a challenging issue and an important task for many ...and recognition of traffic signs in an image, which are interested in the Arab ... See full document

5

Speed Sign Recognition using Shape based Features

... speed sign recognition is tested using 195 rectangular speed sign images categorized as: 27 signs of speed limit 15, 33 signs of speed limit 25, 22 signs of speed limit 35, 31 signs of speed limit ... See full document

6

Visual Perception based Motion Planning of Mobile Robot using Road Sign

... the neural network system will be indicative of chaotic characteristic, and fully use the abundant dynamic characteristic of chaos to implement polymorphism ...the neural network system to ... See full document

6

The research of how to identify the computer network fault by improving neural network

... pattern recognition. This method can solve the problems of pattern recognition by using the theory and the way of fuzzy mathematic, which can be very helpful for the circumstances that the targets of ... See full document

9

Robust Face Recognition Based on Convolutional Neural Network

... Face recognition via deep learning has achieved a series of breakthrough in recent ...Convolutional Neural Network model, and the center loss layer jointly to enhance the discriminative of the ... See full document

6

Neural Network based Approach for Recognition of Text Images

... the neural network to yield an output of ASCII 94 ...technique based on Gaussian Hermite Moments with back propagation algorithm [15], for identifying vehicle through number plate; a classifier is ... See full document

6

Hand Gesture Based Character Recognition using Neural Network

... [5], Hand motion has turned into a viable means for human-PC association. Traditional motion acknowledgment essentially consider hand direction. For some particular applications, for example, virtual reality, more ... See full document

7

ART Network based Face Recognition with Gabor Filters

... better recognition performance. Despite robustness, Gabor filter based feature selection methods are normally computationally expensive due to high dimensional Gabor ...ART neural network ... See full document

5

Neural Network Based Face Recognition Using RBFN Classifier

... Curvelet transform used to extract features from facial images, and then uses RBFN to classify facial images based on features. curvelet transform has been developed especially to represent objects with ... See full document

6

RECOGNITION OF HANDWRITTEN CHARACTER BASED ON WREDF AND NEURAL NETWORK CLASSIFIERS

... Character Recognition System with high recognition accuracy, minimum training and classification ...(WREDF) based on wavelet transform, ii) classification of different handwritten ...Propagation ... See full document

9

An Overview – Artificial Neural Network Based Advanced Face and Non-Face Recognition

... non-face recognition is an active research area from more than last 25 ...non-face recognition system is most natural and effective method to identify a ...non-face recognition, personal facial ... See full document

10

A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS

... model based on support vectors representations, is being introduced by Castro-Neto et ...Bayesian network-based method for short-term traffic flow predictions ...pattern recognition and ... See full document

5

IRIS Recognition System using Neural Network and Genetic Algorithm

... The iris biometric £ can be analyzed in various ways to obtain its digital template T . In all cases, solutions are based on iris texture filtering, but they can vary significantly. The most recognized approach is ... See full document

5

HAND POSES DETECTION USING COVOLUTIONAL NEURAL NETWORK

... gesture recognition is aimed at recognising such expressions, typically involving some posture and or movement of entire body‘s hands, arms, head, or even skeletal ...cases, based on facial ...gesture ... See full document

5