neural network-based recognition systems
NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS
... pattern recognition, identification, classification, speech, vision and control ...Today neural networks can be trained to solve problems that are difficult for conventional computers or human ...
11
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 ...security systems identifies biometric features, such as, fingerprint, iris pattern, voice, face, ...non-face recognition ...
10
Vehicle Recognition Based On Convolutional Neural Network
... Vehicle recognition technology can play a key role in Intelligent Transport ...pattern recognition and deep learning, vehicle identification technology based on deep learning is becoming more and ...
6
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 ...
5
Convolutional neural network-based place recognition
... SLAM systems such as FAB- MAP [Cummins and Newman, 2008] further represent appearance data using sets of local features, converting images into “bag-of-words”, which enables efficient ...place recognition ...
9
Neural Network based Approach for Recognition of Text Images
... character recognition is a difficult problem due to the great variations of writing styles, different size of the ...acquisition systems and conditions, shape distortion is common processes because ...
6
NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION
... existing methods have limitedcapabilities in recognizing relatively complex features in realisticpractical situations. The objective of this correspondence is to presenta new approach for recognizing humans from images ...
6
Neural Network based Intrusion Detection Systems
... method based neural network algorithm was proposed for speech ...unsupervised network and Multilayer Perceptron (MLP) which known as supervised network for Malay speech ...analyze ...
6
Recognition of Handwritten Characters based on Deep Learning with Tensorflow
... Convolutional Neural Network (CNN) is a go-to model on every image related ...Convolutional Neural Network (CNN) compared to its predecessors is that it automatically detects the important ...
6
Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... speaker recognition (ASR) systems are developed to find the identity of the speaker in the field of forensics, business interactions and law ...optimized neural network based approaches ...
10
A Survey on Neural Network Based Classification & Diagnosis of Brain Hemorrhages
... both systems involves preprocessing and feature extraction along with ...two systems. The CAD systems would advise a “second opinion” to radiologists, not an output “decision,” which should be made ...
6
Text Dependent Speech based Biometric for Mobile Security
... speaker recognition but since the method of template construction is inherently text dependent, is a drawback of ...speaker recognition was considerably better than ...the recognition rate drops ...
6
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition
... pairwise neural-network schemes has not been yet explored su ffi ciently in face recog- nition ...pairwise neural-network systems to improve the robustness of face recognition ...
7
Design optimization for the two stage bivariate pattern recognition scheme
... Di dalam operasi pembuatan, proses variasi telah menjadi penyumbang kepada penghasilan produk yang berkualiti rendah. Oleh itu, proses pemantauan dan diagnosis variasi adalah sangat penting dalam kawalan kualiti. Proses ...
39
Vehicle Model Recognition Based on Convolutional Neural Network
... model recognition method and explores the impacts of parameter setting, number of convolutional layers and moving average model on the recognition accuracy through ...the recognition accuracy reaches ...
6
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 ...
7
SECURE ROUTING IN MANET USING ASYMMETRIC GRAPHS
... face recognition on Joint Photographic Experts Group ...face recognition is realized by discrete cosine transform (DCT), and improved compression coding and two dimensions principal component analysis ...
5
License Plate Recognition System using Neural Networks and Multithresholding Technique
... plate recognition is a fully automated real time technique that has been widely used for identification, theft control and security validation of ...For recognition and extraction of desired regions of the ...
6
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 ...
6
Hand Gesture Based Character Recognition using Neural Network
... Abstract: Communication is the trading of thoughts, messages, or data, as by discourse, visuals, signs, composing, or conduct. Hard of hearing and unable to speak individuals impart among themselves utilizing ...
7