[PDF] Top 20 Robust Face Recognition Based on Convolutional Neural Network

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

Title: Evaluation of Performance of the Face Detection Using Skin Colour Model and Face Recognition Using ANN

... and robust algorithm for face detection and recognition using skin colour model with Feed Forward neural ...detect face of region from given input testing ...detected face ... See full document

5

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

Firearm Recognition Using Convolutional Neural Network

... A classification model draw conclusion from the determined values. From one or a lot of inputs a classification model can predict the worth of 1 or a lot of outcomes. Outcomes are labels that will be applied to a ... See full document

6

Face Recognition Based on DCT and RBF Neural Network

... the face recognition method using k-means clustering, Principal Component Analysis (PCA) and RBF neural network ...of face orientation up to a tolerable ...efficient face ... See full document

11

A Convolutional Neural Network Model Robust To Distorted Fingerprints

... Fingerprint is the most common biometric characteristic and is widely deployed in civil and commercial verification and identification systems. However, distortion is one of the greatest challenges in fingerprint ... See full document

6

SECURE ROUTING IN MANET USING ASYMMETRIC GRAPHS

... improve face recognition on Joint Photographic Experts Group ...on face recognition is realized by discrete cosine transform (DCT), and improved compression coding and two dimensions principal ... See full document

5

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 ...voice, face, ...world. Face and non-face recognition system is most natural and effective method to ... See full document

10

Face recognition with Bayesian convolutional networks for robust surveillance systems

... the recognition accuracy of unconstrained facial images [7] using different classification techniques such as support vector machine (SVM) [8], stochastic modeling [9], neural networks [10] and ensemble ... See full document

10

An Approach for Face Recognition System Using Convolutional Neural Network and Extracted Geometric Features

... The appearance features represent an important part of the facial expression feature. That is because of its holistic nature that deals with the whole face image. As mentioned before many approaches can be used to ... See full document

5

Recognition of Printed Mathematical Formula Symbols Based on Convolutional Neural Network

... of convolutional neural network in weight sharing and less learning parameters, this paper presents a 5-layer convolutional neural network for recognizing formula ...of ... See full document

6

Convolutional neural network-based automatic image recognition for agricultural machinery

... from convolutional layers to be trained for the machinery recognition model in this study, which involved hundreds of millions of additions and multiplications to process all images, it would take 5-6 d for ... See full document

7

Neural Network Based Face Recognition Using RBFN Classifier

... RBF neural network classifier can be viewed as a function mapping interplant that tries to construct hyper surfaces, one for each class, by taking a linear combination of the RBF ...classifier based ... See full document

6

Video Based Face Recognition Using Artificial Neural Network

... video based face recognition algorithm is based on the observation that video signature can be created by combining the large information available within multiple frames of a ...artificial ... See full document

7

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

11

Oracle-Bone Inscription Recognition Based on Deep Convolutional Neural Network

... The recognition of OBIs, which interdisciplinarily combines archaeology, history, philology and literature, requires people to have plenty of knowledge and years of ... See full document

9

TensorFlow and Keras based Convolutional Neural Network in CAT Image Recognition

... feed-forward neural network structure has a hidden layer of 1 to 2 layers for handling high dimensional input values, which can improve model accuracy and allow multiple output values by softmax activation ... See full document

5

Vehicle Recognition Based On Convolutional Neural Network

... Vehicle recognition is one of the key technologies of intelligent ...vehicle recognition methods are as follows: sense coil detection, infrared detection method, the dynamic piezoelectric detection method, ... See full document

6

Human Face Recognition in Video using Convolutional Neural Network (CNN)

... The selection of video for detecting human faces has few features which are extracted from each frame of video using BRISK (Binary Robust Invariant Scalable Keypoints) feature extraction method as shown in Figure ... See full document

7

A Novel Approach for Face Recognition using Dual Cross Grouping Patterns and Neural Network

... Face recognition is one of biometric methods, to identify given face image using main features of ...a neural based algorithm is presented, to detect frontal views of ...of face ... See full document

8