character recognition

The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.

and serious research in both speech and character recognition were all part of the IBM Research playbook.

Often these old texts are degraded and up to 20 per cent of the words cannot be read by optical character recognition software.

It consists of image display, image conversion, image processing, character recognition, and help to a few other components.

Off-line handwritten Chinese character recognition is one of the most challenging problems in pattern recognition field.

The traditional means of Chinese chessboard recognition depends on the character recognition, without the use of color information.

Digital Character Recognition is the main goal of the system, which automatically identify the pre-processed image.

Page reader An optical device capable of reading characters form a sheet of paper . See Optical Character Recognition .

Handwritten character recognition is one of the research topic field of image processing and pattern recognition.

preprocessing and feature extraction are important stages in character recognition system , related closely with the classifier precision.

In character recognition, a straight line or arc used as a segment of a graphic character.

License plate recognition system is consisted by three parts: License Plate location, character segmentation and character recognition.

INFORMATION PROCESSING. CHARACTER RECOGNITION. SYSTEM FOR A MULTI-SECTORIEL CODIFICATION OF ENTITIES.

This thesis mainly studies the application of the clustering analysis in handwritten Chinese character recognition.

The Project is an optical character recognition application using artificial neural networks.

Character recognition technique is one of the most important research directions of identifying model by machine vision.

The article proposes an algorithm for hand-written Chinese character recognition and its realization .

The application of license plate recognition system is restricted by the efficiency of license plate character recognition.

Handwritten numeral recognition is a hotspot of study for years, and is some especial issue of character recognition.

The minimum distance classification has been broadly applied to the areas of character recognition and image recognition.

Character recognition use neural networks, and improve some parameters for a higher rate.

The paper presents some means for these problem, so that the system can efficiently accomplish character Recognition.

Plate Location, Character Extraction, Character Recognition are the three main processes of vehicle License Plate Recognition( LPR).

Magnetic ink character recognition (MICR): Devices which can identify characters printed in magnetic ink and convert them into digital data.

Character recognition are important areas of contemporary high-tech research, has developed into an independent new discipline.

And, image preprocessing and license plate location has an important impact on the character segmentation and character recognition.

Character segmentation requires us segment every character out from the license plate preparing for character recognition.

Character recognition module The module consists mainly of handwritten numeral recognition.

This project is accomplished by license plate location with wavelet and character recognition with improved BP neural network.

The structure features are used to recognize characters in the character recognition.

The character recognition was taken as the supplement to exceptions of color recognition.

The license plate recognition system contains two main parts: license location and character recognition.

This article uses Tesseract (see Resources) as an example open source character recognition application.

In character recognition, the inadvertent absence of ink within a character outline.

The individual character recognition rate of this system is over 96% and the whole license plate recognition rate is 82%.

There's no optical character recognition though -- what you get is a bitmap.

finally, character recognition feedback with template matching based on object occupancy rate is used for fine segmentation.

PAPER. CHARACTERISTICS OF PAPER FOR OPTICAL CHARACTER RECOGNITION.

The algorithm for the digital character recognition of fuzzy cluster analysis.

At present, an emphasis of the research is put on unconstrained handwritten character recognition.

The latter is important in Asian markets and anywhere where gesture or character recognition is important.

Innovation of this paper is using the high-order neural network into character recognition filed.

Is cool self-developed search network character recognition software.

To treat the random of a character's direction, the method of character recognition based on annual ring is given.

This method has been applied to character recognition for car license plate.

Post-processing is a key component of Chinese character recognition system.

At last we give the method of character segmentation and character recognition we used in this thesis. 2.

Finally, according to the proposed system design, we implement the novel Chinese character recognition system.

According to above feature fusion, similarity classifier is used to achieve an English Character recognition system with high performance.

But it has been considered the most difficult to conquer in the field of Chinese character recognition for its complexity.

A new method is introduced for character recognition based on graph and feature primitives' representation of multivariate graph.

This article also detailed introduction based on character shape character recognition method.

OCR: Short for Optical Character Recognition.

Hiragana is similar to Chinese cursive writing which is a difficult topic in character recognition field.

A novel license character recognition method based on the nearest feature line (NFL) classifier is presented in this paper.

The technology its needed include digital image processing, pattern recognition, optical character recognition and so on.

A Chinese board recognition method based on color recognition and character recognition was proposed.

MICR See Magnetic ink character recognition.

Such as handwritten Chinese character recognition, face recognition, network intrusion detection.

In the part of character recognition, the author proposes recognition algorism which based on BP neural network, and it achieved successful.

In the stage of license plate character recognition, we propose a template matching method based on Shape Contexts.

In the character recognition module, a recognition approach based on support vector machine is applied.

Character Recognition, okay, we try, thank you ha ha.

The result shows that the system not only can detect the defects effectively but also can reach a character recognition rate of 95%.

Furthermore, in order to make the performance of character recognition higher, the module of mixture of experts was adopted.

"Difficult to Learn Chinese Characters Opinion" and "Creation of Chinese Character Recognition Teaching"

Chinese characters skeleton is a kind of important geometrical feature, and how to thin it is the premise of Chinese character recognition.

Only treat people with sincerity in order to obtain the trust of other people, other people will give you the character recognition.

Design and Implementation of a Distributed Platform for Handwritten Chinese Character Recognition

Kernel Uncorrelated Discriminant Analysis and Its Application to Handwritten Character Recognition

Sifting-connecting Templet Matching Algorithm Applied to Disfigurement Character Recognition

license plate recognition; wavelet analysis; license plate extraction; character segmentation; character recognition;

Application of a Multi-stage PSO Neural Network System for Handwritten Character Recognition

Character Recognition Technology for Identifying Container Number in Intelligent Container Passageway

Improvement of contour following algorithm and its application in character recognition

Information Systems - Optical Character Recognition (OCR) - Paper Used in OCR Systems

Confidence Evaluation for Handwritten Chinese Financial Character Recognition

High-Order Statistics and Its Application in Handwritten Character Recognition

Handwritten Character Recognition Using Principal Component Analysis

An Improved Radial Basis Function Neural Network and Its Application for Handwritten-Character Recognition

HMM model for online handwritten Chinese character recognition describing the correlations between segments

Character Recognition Recognition Functions;

Font A for optical character recognition; characters and nominal dimensions; extension of the character set

Implementation of effective multifont printed character recognition system

An Adaptive Post-processing Method using Proofreading Information for Chinese Character Recognition

Printed Chinese character recognition used in table processing

Chinese Character Structure Models for Handwritten Chinese Character Recognition

Research and Development of a Multifont Printed Uyghur Character Recognition System

Information Systems - Optical Character Recognition (OCR) - Guidelines for OCR Print Quality

Design of multiple features and multilayer classifiers for handwritten character recognition

The Automatic Character Recognition System for Serial Number of Railway Wheel Products

Global Precedence in the Early Perception of Chinese Character Recognition

Nonlinear Active Radical Modeling for Handwritten Chinese Character Recognition

Chinese Character Systematic Structure and Chinese Character Recognition

A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition

Fingertip Detection Approach for Finger-Writing Chinese Character Recognition System

Small Set Handwritten Chinese Character Recognition Using Stroke Partition Moment Features

printing specifications for optical character recognition

Research on Handwritten Chinese Character Recognition Using Feature Fusion and Modular RBF Classifier

Feature Extraction with Wavelet and Fractal for Handwritten Chinese Character Recognition

Stroke Extracting Method for Handwritten Chinese Character Recognition

Standard Terminology Relating to Optical Character Recognition

Feedback-Based Algorithm for Handwritten Character Recognition

Effects of Characters Construction on Basic Processing Unit of Chinese Character Recognition

Extraction of the stroke plane for the handwritten Chinese character recognition based on elastic stroke length and recognition

A Method of Vehicle Plate Character Recognition Under Multi-scale Directional Contours with Wavelet Transform

Handprinted numerals for optical character recognition

Application of P-Fourier Transform to Handwritten Chinese Character Recognition

A character recognition algorithm in the application of vehicle license plate recognition system

New Method of Optimal Sampling Features for Offline Handwritten Chinese Character Recognition

Chinese character recognition by classification

Font B for optical character recognition; characters, nominal dimensions, and format

The Study of Neural Networks Applied to Handwritten Character Recognition

Inputting and Abstracting in Online Chinese Character Recognition System

Feature Extraction and the Design of Classifier in Small Set Handwritten Chinese Character Recognition

Study of Doorplate Recognition Algorithm Based on Character Recognition

handprinted symbols for optical character recognition

A Method of Ameliorating Based Asymptotic Slope for Online Cursive Chinese Character Recognition

Research of an ICA-Based Digital Character Recognition Method

A Stroke Segment Extraction Algorithm for Tibetan Character Recognition

A Fast Algorithm for Character Recognition of Numeral Instrument Dynamic Displayed

Font H for optical character recognition; characters, writing rules and dimensions

Segmentation technology for character recognition of special note

Extraction of Features of Mongolian Printed Character Recognition

A Method of Measuring the Reliability of Handwritten Chinese Character Recognition Results

Synthesis narration of Chinese character recognition method in license plate

A Meta-synthetic Approach for Lower-constrainedHandwritten Character Recognition

Developmental Research on Sublexical Processing in Chinese Character Recognition

Gabor parameter design its use in character recognition of vehicle registration number

Handwritten character recognition based on adaptive resonance theory of artificial neural network

Character recognition by Gaussian descriptors

Font A for optical character recognition; characters and nominal dimensions

Design of three artificial neural networks used on English character recognition

A Video-Based Online Handwritten Chinese Character Recognition Method

Preprocessing in XIXIA Character Recognition System

A Method of Fast Piston Character Recognition and Its Application

Effect of visual spatial disorder on processing Chinese character recognition

Scan a document without Automatic Optical Character Recognition

Study on Similitude Characters in Tibetan Character Recognition

Research on Character Recognition for engineering Drawing

Handwritten Digit Character Recognition by Model Reconstruction Based on Independent Component Analysis

Character Recognition and Its Application in LPR

Research on Global or Local Precedence Effect in Chinese Character Recognition

A Fast Method to Locate Text Area Used in Character Recognition

Character Recognition Based Genetic-Neural Network

Fonts for optical character recognition; format for document reader

A Study of Number and Letter Character Recognition Based on Moments and Wavelet Transform

The Positional Component Effect on Chinese Character Recognition

A Fast and Effective Algorithm for Printed Chinese Character Recognition

Handwritten Character Recognition Using HMM Based on Optimal Discriminant Transformation

Research and implementation of Manchu character recognition postprocessing based on statistics

Character Classification Method Based on Component Character for Chinese Character Recognition

Chinese Character Recognition Classification Based on Linguistic Knowledge

The Research of Printed Mongolian Character Recognition

Finger Writing: A Novel Virtual Character Recognition HCI Approach

Influence of "Provincialist" Character Recognition over Shen Congwen's Writing Creation

A Mathematical Equation Editing System Based on On-line Handwritten Character Recognition and Automatic Equation Parsing

An Algorithm for Multi-font Printed Tibetan Character Recognition

features for Chinese character recognition

Method for visual assessment, by grid assay, of dirt in paper for character recognition

The Application of BP Neural Network Algorithm in the Character Recognition

Study on Phrase Classifier in Chinese Character Recognition

The Application of Probability Distance to On-LineChinese Character Recognition

Handwritten Character Recognition Based on Parallel Feature Combination and Generalized K-L Expansion

A New SVM-Based Handwritten Chinese Character Recognition Method

A Character Recognition Approach Based on Feature Line Necessary-Sufficient Condition Detection

A Survey of Off-line Handwritten Chinese Character Recognition

Study of print character recognition based on wavelet moment;

A study of license plate character recognition based on wavelet moment

A Feature Extracting Method for Handwritten Chinese Character Recognition Based on Elastic Mesh and Fuzzy Feature of Block

Pressed Protuberant Character Recognition Based on Least Squares Support Vector Machines

Character Recognition of Plate License with Strong Noise

A new algorithm on handwriting character recognition

Handwritten Chinese Character Recognition Based on Orthogonal Feature

Manchu Character Recognition Post-Processing Based on Bayes Rules and Substitution Set Confusion Matrix

Real-Time Character Recognition Method in the Video Reading System

Handwritten chinese character recognition based on fuzzy sub-stroke statistical feature

A Fast Vehicle License Plate Character Recognition Algorithm Based on the Half Blocked Integral Projection and SVM

A Method for Improving Offline Handwritten Character Recognition Based on Semantic Analysis

Character Recognition Based on Independent Component Analysis

SVM for Chinese Character Recognition in License Plate

A New Method for Number and Letter Character Recognition of License Plate

Character Recognition Based on Wavelet Preconditioning and Neural Network

Preprocess studies on character recognition of bank mstruments

Basic method of Chinese character recognition

Character Recognition of Piston Surface Based on Virtual Instrument Technology

Character Recognition Based on Structural and Statistical Features

Research of Character Recognition Based on Neural Networks Evolved by Genetic Algorithms

A strategy of Korean character recognition based on structured identification code

Research on English Character Recognition Method Based on Center and Circumference

Image Process and Character Recognition of Seam

A Research of the Character Recognition of Vehicle's License Plate Based on BP Neural Networks

Character Recognition System for Tire Code

The Application of Multi-Recognizers Based on Neural Networks in Character Recognition

Chinese character recognition based on structural features

Handwritten Character Recognition Based on the Nonlinear PCA Neural Network

New Method for Vehicle License Plate Character Recognition Based on Wavelet and Neural Network

Research for the Script Character Recognition Technology Based on Form

New post-processing method based on noisy channel model for Chinese character recognition

A Multi-Font Huge-Set Character Recognition System

Fast character recognition algorithm based on wavelet transform

Gray Image Feature Extraction Based on Wavelet and DCT for Pressed Character Recognition

A HMM Based On-line Chinese Character Recognition System and Improved Training Algorithm

Chinese Character Recognition Based on Parallel Neural Network

The Design of Handwritten Character Recognition System Based on the OCR Technology

A New Approach for Handwritten Chinese Character Recognition Based on Multi-Channel PCA Model

Handwritten Character Recognition System Based on BP Neural Network

Character Recognition of Vehicles'License Plates Based on Neural Network

Handwritten Chinese Character Recognition Based on Sub-stroke

License plate character recognition based on the combined features

A Handwritten Character Recognition Based on Vector Feature Coding

Character recognition based on support vector machines and wavelet

Fast hand-written digital character recognition based on global feature

Research on SSDA-based character recognition of car license plate

Realization of character recognition based on neural network

handwritten character recognition based on bp neural network

Character Recognition Based on Support Vector Machines

Character Recognition Based on Feature Selection

A handwriting character recognition system based on ICA and neural network

New Approach to English Character Recognition Based on RBF Neural Network

Character Recognition in License Plates Based on Rough Set and Neural Network

A Character Recognition Based on Feature Extraction

Methods on License Character Recognition based on Rough Sets

A Method of License Character Recognition Based on Fast Nearest Feature Line

A Kind of Manuscript Character Recognition Technique Based on Framework Character and Neural Network

License Plate Character Recognition Based on SVM and KPCA

Dai Ruwei. System and Integration of Chinese Character Recognition. Hangzhou: Zhejiang Science and Technology Press, 1998

The Development of Research on Chinese Character Recognition In China