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Character Recognition

Optical Character Recognition

Optical Character Recognition

... - Character recognition is one of the most interesting and challenging research areas in the field of Image ...English character recognition has been extensively studied in the last half ...

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Survey of Pattern Recognition Approaches in
          Japanese Character Recognition

Survey of Pattern Recognition Approaches in Japanese Character Recognition

... The storage, retrieval and analysis of Japanese documents require a conversion of the documents to electronic media. For the purpose of conversion to electronic (digitized) media, optical character readers are ...

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Offline Handwritten Sanskrit Character Recognition

Offline Handwritten Sanskrit Character Recognition

... Abstract— In this paper, we describe the procedure of developing dataset for offline handwritten Sanskrit character recognition. There is no standard dataset available for handwritten characters. Researcher ...

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Character recognition through image processing

Character recognition through image processing

... Fig 2. Block Diagram Showing Process Involved In OCR The above block diagram shows the dataflow pattern according to which a character is recognized optically using the optical character recognition ...

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Eighth Century Tamil Character Recognition

Eighth Century Tamil Character Recognition

... of character recognition is dependent on the accuracy of stroke ...for recognition of eight century characters show that reliable classification ion is possible using neural ...

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Feature Extraction Methods for Character Recognition

Feature Extraction Methods for Character Recognition

... Extraction, Optical Character Recognition, Nor malized Accuracy Measure, Fuzzy Zoning, Invariance, Handwritten, Clas sifier, Off-line features, Pattern Recognition, Neural Network, Radia[r] ...

236

Character Recognition Using Neural Network

Character Recognition Using Neural Network

... Handwritten character recognition takes handwritten input from sources such as touch screens and paper documents to be interpreted by a ...the recognition task is ...

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A New Approach to Handwritten Character Recognition

A New Approach to Handwritten Character Recognition

... handwritten character recognition but it gives a poor detection of ...Handwritten character recognition using genetic algorithm involves the automatic conversion of text in an image into ...

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Development of Nepali Character Database for Character Recognition based on Clustering

Development of Nepali Character Database for Character Recognition based on Clustering

... Character Recognition tasks requires large set of reliable dataset to apply recognition algorithms and generate efficient models out of ...such character dataset exists for character ...

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Optical Character Recognition using Ant Miner Algorithm: A Case Study on Oriya Character Recognition

Optical Character Recognition using Ant Miner Algorithm: A Case Study on Oriya Character Recognition

... missed still the characters are detected with less percentile of matching. The study shows the proposed ‘block’-based rules are useful for the character recognition. Since the ‘block’-1 scripts are ...

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Kurdish Optical Character Recognition

Kurdish Optical Character Recognition

... I n this article, we introduce a method to perform the segmentation and recognition process of Kurdish texts written in the Persian/Arabic script. Kurdish is spoken by a population of about 30 million (Hassani, ...

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Understanding Optical Character Recognition

Understanding Optical Character Recognition

... Optical Character Recognition technology has been used extensively in commercial applications since the ...called Recognition Equipment, ...by Recognition Equipment, ...

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A Review on Handwritten Character Recognition

A Review on Handwritten Character Recognition

... perform recognition tasks and classification. In offline systems, of character recognition, the ANN has become one of the best tools for classification and high recognition of ...

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Handwritten Character Recognition: A Review

Handwritten Character Recognition: A Review

... Tushar et al. [61] apply chain code based feature extraction method for recognition of handwritten cursive characters. These feature vectors are given to ANN classifier to classify the characters and they got 80% ...

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Application of Neural Networks in Character Recognition

Application of Neural Networks in Character Recognition

... Optical Character Recognition (OCR) refers to identifying printed characters as digitally recognizable form (such as ASCII) [1]. From preserving ancient manuscripts to helping blind people read (by using ...

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Review on Offline Odia Character Recognition

Review on Offline Odia Character Recognition

... single character as a single image ,each containing a single character ...for recognition of offline character for printed text document is used ...in recognition are done over large ...

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Character Recognition Using Neural Network

Character Recognition Using Neural Network

... The next module of character recognition is feature extraction. It is the special form of Reduction. When input algorithm is very large at that time it is reduce the data [9].If the features extracted are ...

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A REVIEW OF OPTICAL CHARACTER RECOGNITION TECHNIQUES

A REVIEW OF OPTICAL CHARACTER RECOGNITION TECHNIQUES

... complex recognition problems, intelligent character recognition systems are generally used, as artificial neural networks can be made indifferent to both affine and non-linear ...and character ...

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IMPLEMENTATION OF NEURAL NETWORK FOR CHARACTER RECOGNITION

IMPLEMENTATION OF NEURAL NETWORK FOR CHARACTER RECOGNITION

... Off-line character recognition is the development of a system that can recognize these ...Pattern recognition. In this, we present the handwritten character as part from common application ...

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Digits and Character Recognition using KNN

Digits and Character Recognition using KNN

... Character recognition was introduced in 1870 by Carey who invented retina scanner in which image transmission was done using ...plate recognition, multi choice examination ...

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