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Optical Character Recognition Systems for Different Languages with Soft Computing

The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques;

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Knowledge-Based Intelligent Techniques in Character Recognition

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques;

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Knowledge-Based Intelligent Techniques in Character Recognition

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques;

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Pattern Recognition

inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition;

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Progress in Character Recognition

This book discusses the progress in character recognition with the help of descriptive information. It offers insight into the developments;

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Pattern Recognition in Biology

, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents leading;

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Pattern Recognition in Nanoscience, Environmental Engineering & Archeology

). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and;

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Character Recognition Systems

character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made;

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Image Processing and Pattern Recognition

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech;

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Handwritten Marathi Numeral Recognition

Character recognition is one of the oldest sub fields of pattern recognition. Recognition systems have been effectively developed for;

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Advances In Chinese Document And Text Processing

document image analysis and recognition, font design, text analysis and speaker recognition. Handwritten Chinese character recognition and text;

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Feature Extraction Approaches for Optical Character Recognition

Since the 1950's character recognition has been an active field of research for computer scientists worldwide. The main reason is that;

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Correlation Pattern Recognition

recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms;

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Correlation Pattern Recognition

recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms;

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Computer Vision and Image Processing

Learning.Part II: Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and;

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Guide to OCR for Arabic Scripts

; presents a detailed overview of Arabic character recognition technology, covering a range of different aspects of pre-processing and feature;

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Character Recognition

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Computer Vision and Image Processing

Learning.Part II: Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and;

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Handwritten Character Recognition

The recognition of handwritten characters is a vital research area in the domain of text segmentation. Various approaches have evolved;

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Document Analysis Systems

papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis;

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Applications of Pattern Recognition

as character and speech recognition.;

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Handwritten Gurumukhi Character Recognition

This book on Handwritten Gurumukhi Character Recognition describes Neural Network technique for recognition of handwritten Gurumukhi;

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Machine Vision

recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used;

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Deep Learning with Python

recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;

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Skeletonization

in many image processing and computer vision applications such as shape recognition and analysis, shape decomposition and character recognition;

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ROI Framework for Generic Handwritten Amharic Form

For a decade, researchers have been working on Amharic character recognition, mainly due to large collection of paper documents;

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Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems

recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the;

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