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off-line text recognition

Combining diverse systems for handwritten text line recognition

Combining diverse systems for handwritten text line recognition

... as text line extraction and slant correction. Then, the on-line handwriting is pre-segmented into strokes and ...and off-line ...all recognition levels, from the character to the ...

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OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION

OFF-LINE ARABIC HANDWRITTEN ISOLATED CHARACTER RECOGNITION

... character recognition systems achieved a considerable ...charterer recognition has been presented in ...character recognition considers a challenging task comparing with working with Latin, Japanese, ...

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Review On Optical Character Recognition for Off line Devanagari Handwritten Characters & Challenges

Review On Optical Character Recognition for Off line Devanagari Handwritten Characters & Challenges

... character recognition is an area of pattern recognition whose purpose is to classify patterns to alphanumeric or other ...into text format which is ...character recognition. ...

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Review on: Enhanced Offline Signature Recognition Using
          Neural Network and SVM

Review on: Enhanced Offline Signature Recognition Using Neural Network and SVM

... signature recognition with a lot of scope of research. Here, we deal with an off-line signature recognition ...Signature recognition is the process of verifying the writer’s identity by ...

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Intelligent Systems for Off-Line Handwritten Character Recognition: A Review

Intelligent Systems for Off-Line Handwritten Character Recognition: A Review

... handwritten text and to normalize the size of text images with supervised learning ...of text contours with Multilayer ...The recognition is based on hybrid optical HMM/ANN models, where a ...

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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED 
METHOD

SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD

... an off-line Arabic handwritten recognition ...introduced text (eliminate or reduce noise, thresholding, screening, detection of the inclination angle and the segmentation of the image of the ...

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Study of Different Off line Handwritten Character Recognition Algorithms for Various Indian Scripts

Study of Different Off line Handwritten Character Recognition Algorithms for Various Indian Scripts

... Handwritten recognition is an area of research where many researchers have presented their work and is still an area under research to achieve higher ...handwritten text, converting to an image using ...

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Mining Vibrational Effects on Off-line Handwriting Recognition

Mining Vibrational Effects on Off-line Handwriting Recognition

... The width of each written word was measured and divided by the number of letters to retrieve average alphabet width (W) (Equation (1)). The major challenge was that some words were written too close to the other words in ...

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Title: Review about Off-line Handwriting Arabic Text Recognition

Title: Review about Off-line Handwriting Arabic Text Recognition

... input text data and converting it into a digital readable form [12].The Off-line character system recognizes the text after it has been written and is inserted by a video camera or scanner, ...

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Enhanced Offline Signature Recognition Using          Neuro- Fuzzy and SURF Features Techniques

Enhanced Offline Signature Recognition Using Neuro- Fuzzy and SURF Features Techniques

... an off-line signature recognition ...Signature recognition is the process of identify the writer’s identity by check the signature against samples keep in the ...signature recognition ...

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Off-line text-independent writer recognition for Chinese handwriting: a review

Off-line text-independent writer recognition for Chinese handwriting: a review

... [32] outlined that the Independent Component Analysis method is adopted and achieved the highest identification accuracy of 91.3% with the database of 30 people. Independent component analysis (ICA) was developed as a ...

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Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten

Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten

... and recognition of handwritten alphanumeric characters from application forms using discrete hidden Markov models is reported in ...yielded recognition rates of 93% in character level and 88% in word ...

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Signature Recognition using Statistical-ANN Hybrid Technique

Signature Recognition using Statistical-ANN Hybrid Technique

... Signature recognition is a behavioral biometric that identifies an individual on the basis of their handwritten ...signature recognition methods and have compared all the methods ...offline ...

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Articles

Articles

... OCR text extracted from specimens in a given herbarium fits a description of a domain- specific corpus; therefore FlexiTerm can exploit linguistic and statistical patterns of language use within a specific ...

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A REVIEW ON OFF-LINE HANDWRITTEN DEVNAGRI SPECIAL CHARACTER RECOGNITION USING NEURAL NETWORK

A REVIEW ON OFF-LINE HANDWRITTEN DEVNAGRI SPECIAL CHARACTER RECOGNITION USING NEURAL NETWORK

... the recognition for handwritten Characters (uppercase and letter) recognition using multilayer perceptron ...character recognition is an important research and application area on pattern ...

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Scene text recognition in images by character descriptor and structure configuration

Scene text recognition in images by character descriptor and structure configuration

... N. F. Johnson, Z. Duric describe the piracy of digital assets such as software, images, video, audio and text has long been a concern for owners of these assets. Protection of these assets is usually based upon ...

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Off line Odia Handwritten Character Recognition: an Axis Constellation Model Based Research

Off line Odia Handwritten Character Recognition: an Axis Constellation Model Based Research

... handwritten recognition system, it conveys the idea how effectively one must take of each segment of the recognition ...on recognition of one Indian script that is Odia as to the best of our ...

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Effect of the Classifier Training Set Size on Accuracy of Pattern Recognition

Effect of the Classifier Training Set Size on Accuracy of Pattern Recognition

... Abstract: The paper determines the correlation between training set size and accuracy of neural handwritten recognition. The paper investigates and compares between four variant neural networks, it practices ...

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Inspection of Prediction and Identification of Personality through Multiple Traits

Inspection of Prediction and Identification of Personality through Multiple Traits

... and recognition of handwritten signature which helps in the field of signature verification, signature analysis and signature recognition using image clustering process based on k-nearest neighbors approach ...

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OFFLINE SIGNATURE VERIFICATION AND RECOGNITION METHODS: A REVIEW

OFFLINE SIGNATURE VERIFICATION AND RECOGNITION METHODS: A REVIEW

... character recognition research and development advanced, demands on handwriting recognition also increased because a lot of data such as addresses written on envelopes; amounts written on checks, names, ...

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