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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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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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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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Identification of Handwritten Characters using Machine Learning

The book gives an overview of the various steps involved in handwritten character recognition. It also familiarizes certain machine;

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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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Devnagari Vowels Recognition By Recursive Subdivision Of Sampled Image

Handwritten Optical Character Recognition (HOCR) is one of the research fields where the lots of the researchers are working very hard to;

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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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Offline Persian Handwriting Recognition

During the past decade, a remarkable progress has been achieved in the field of machine-printed and handwritten word recognition, and many;

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Multimodal Interactive Handwritten Text Transcription

full automation, assists the expert in the recognition and transcription process.Until now, handwritten text recognition (HTR) systems are far;

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Recognition Of Whiteboard Notes

in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans;

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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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Writing Japanese Katakana

Japanese. Each character is introduced with brushed, handwritten and typed samples that enhance character recognition. Extensive space for;

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Supervised and Unsupervised Pattern Recognition

neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The;

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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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Handwriting

Recognition (HTR) field, resulting from works done on different HTR-related topics for the achievement of more accurate and efficient recognition;

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Writing Japanese Hiragana

samples which enhance character recognition. Extensive writing space allows for maximum practice to facilitate memorization and ensure proper;

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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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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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Recognizing Patterns in Signals, Speech, Images, and Videos

This book constitutes the refereed contest reports of the 20th International Conference on Pattern Recognition, ICPR 2010, held in Istanbul;

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Chinese Handwriting Recognition

long. Yet some open issues remain to be solved. As an indispensable branch, Chinese handwriting recognition has been termed as one of the;

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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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Character Recognition

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Arabic And Chinese Handwriting Recognition

all over the world to a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006). The event acted as a complement to the;

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Networks, Data Mining and Artificial Intelligence: Trends and Future Directions

survey on data clustering techniques. Section IV includes a probabilistic model for off-line handwritten Manipuri character recognition and a;

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