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OCR with the Kohonen Neural Network

An Approach for Optical Character Recognition on Grid Infrastructure Using Kohonen Neural Network

An Approach for Optical Character Recognition on Grid Infrastructure Using Kohonen Neural Network

... a considerable measure of advantages can be given by the OCR framework. The computerized section of information by OCR is a standout amongst the most appealing, work decreasing innovation .The ...

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OPTICAL CHARACTER RECOGNITION ON THE ANDROID OPERATING SYSTEM FOR KANNADA CHARACTERS USING KOHONEN NEURAL NETWORK

OPTICAL CHARACTER RECOGNITION ON THE ANDROID OPERATING SYSTEM FOR KANNADA CHARACTERS USING KOHONEN NEURAL NETWORK

... There were a number of challenges faced while implementing the OCR. Few among as mentioned below. Background shadows in the image:While taking the image the background image may contain some shadows. These ...

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Minimally segmenting performance Bangla optical character recognition using Kohonen network

Minimally segmenting performance Bangla optical character recognition using Kohonen network

... Bangla OCR systems started emerging back in mid 1980’s, and various efforts to create a working OCR for Bangla has continued since ...Using neural networks and even for Kohonen neural ...

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Application of kohonen neural network and rough approximation for overlapping clusters optimization

Application of kohonen neural network and rough approximation for overlapping clusters optimization

... The approach is based on the rough set theory that employs a soft clustering which can detects overlapped data from the data set and makes clustering as precise as possible,[r] ...

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Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network

Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network

... hybrid Kohonen Self-Organizing Neural Network is proposed as a classifier for iris ...the network architecture to improve the learning process and increase ...

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Printed Gujarati Script OCR using Hopfield Neural Network

Printed Gujarati Script OCR using Hopfield Neural Network

... In Gujarati, there are 34* consonants and 11 vowels. 2 images per character with font size 12 is taken which results in a total of 748 images. These 748 images are used for training data set. For testing, characters ...

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Diacritical Language OCR Based on Neural Network: Case of Amazigh Language

Diacritical Language OCR Based on Neural Network: Case of Amazigh Language

... c Department of Computer Science, School of Technology-Sale, Mohammed V University, Rabat, Morocco Abstract Document paper conversion into electronic format has become indispensable task in many areas, especially for ...

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An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

... Artificial Neural Networks (ANN) and specially Kohonen neural networks with its feed-forward architecture and its ability in discovering any relationships of interest that may exist in the input data ...

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Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network

Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network

... a neural network structure consisting of a Kohonen ...the neural network consists of the image color values and additional spatial features extracted in the neighborhood of each ...

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A Novel Adaptive Steganographic Technique using Kohonen Neural Network based on Integer Wavelet Transform

A Novel Adaptive Steganographic Technique using Kohonen Neural Network based on Integer Wavelet Transform

... This is made possible by hiding the very existence of the message and make communication undetectable. Steganography is the science of secret message delivery using cover media and has many technical challenges such as ...

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Optimizing the neural network training for OCR error correction of historical Hebrew texts

Optimizing the neural network training for OCR error correction of historical Hebrew texts

... correct OCR errors, post-processing algorithms have been proposed based on natural language analysis and machine learning techniques such as neural net- ...works. Neural network’s disadvantage is the ...

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Multilevel learning in Kohonen SOM network for classification problems

Multilevel learning in Kohonen SOM network for classification problems

... for neural network that implements competitive learning rule such as SOM is directly connected to the representation of data and it crucially influences the efficiency, accuracy and generalization ability ...

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Recognition and Classification of Broken Characters using Feed Forward Neural Network to Enhance an OCR Solution

Recognition and Classification of Broken Characters using Feed Forward Neural Network to Enhance an OCR Solution

... the OCR solutions. Multi Layer Feed Forward Neural Network Classifier (MLFNC) can be used to enhance the efficiency of an ...forward neural network to classify broken characters prior ...

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Progressive Developmental Approach of Neural Network and OCR Based Operative System for Visually Impaired Persons

Progressive Developmental Approach of Neural Network and OCR Based Operative System for Visually Impaired Persons

... ABSTRACT: Reading is apparently essential in today’s society. Printed text everywhere in the form of reports, receipts, bank statements, class room handouts, instruction on medicine bottles, etc. And while optical aids, ...

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Managing Network Congestion with a Modified Kohonen-based RED Queue

Managing Network Congestion with a Modified Kohonen-based RED Queue

... in network traffic causes increasing packet loss ...the network. Then RED approach is combined with Kohonen technique that enables a stable queue length without complex parameters setting and passive ...

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Efficient Texture Classification Using a Kohonen Clustering Network and the LNLBP Attributes

Efficient Texture Classification Using a Kohonen Clustering Network and the LNLBP Attributes

... artificial neural networks (ANN), support vector machines (SVM), fuzzy approach, fuzzy support vector machines (FSVM) and genetic algorithms with neural networks are being developed ...both kohonen ...

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Solving inverse kinematics using kohonen network for 3D human walking

Solving inverse kinematics using kohonen network for 3D human walking

... Neural network solutions have the benefit of having faster processing times since information is processed is ...artificial neural network that learns the inverse kinematics system of robot ...

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Load balancing in a heterogeneous computer system by self-organizing Kohonen network

Load balancing in a heterogeneous computer system by self-organizing Kohonen network

... Load balancing in a heterogeneous computer system by self-organizing Kohonen network Mikhail S. Tarkov, Yakov S. Bezrukov Abstract. An effective algorithm is proposed for a balancing computation load in a ...

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													Optical character recognition (ocr) system for english language using artificial neural network (ann) classifier

1. Optical character recognition (ocr) system for english language using artificial neural network (ann) classifier

... artificial neural networks were originally developed which mimics the behaviour of human nervous system to some extent ...Artificial Neural Network to detect text from the scanned or inputted ...

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Practical OCR system based on state of art neural networks

Practical OCR system based on state of art neural networks

... commercial OCR products and services, de- fines OCR as follows [[ 1 ]:“Optical Character Recognition, or OCR, is a technology that enables you to convert different types of documents, such as scanned ...

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