Handwriting Recognition: Fundamentals and Applications

· One Billion Knowledgeable · AI 講述者:Mason (來自 Google)
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What Is Handwriting Recognition


Handwriting recognition (HWR) is the ability of a computer to accept and interpret comprehensible handwritten input from sources such as paper documents, pictures, touch-screens, and other devices. Handwritten text recognition (HTR) is another name for handwriting recognition. Handwriting recognition (HWR) is also known as handwritten text recognition (HTR). By using optical scanning or intelligent word recognition, the image of the written text can be sensed "off line" from a piece of paper. This can be done in a number of different ways. A different option is for the movements of the pen tip to be sensed "on line," for instance by a pen-based computer screen surface. This is a task that is typically simpler because there are more hints available. Formatting, accurate character segmentation, and the identification of words that are most likely to be written are all taken care of by a handwriting recognition system.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Handwriting Recognition


Chapter 2: Artificial Neural Network


Chapter 3: Optical Character Recognition


Chapter 4: Recurrent Neural Network


Chapter 5: Long Short-term Memory


Chapter 6: Deep Learning


Chapter 7: Signature Recognition


Chapter 8: Handwritten Biometric Recognition


Chapter 9: MNIST Database


Chapter 10: History of Artificial Neural Networks


(II) Answering the public top questions about handwriting recognition.


(III) Real world examples for the usage of handwriting recognition in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of handwriting recognition' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of handwriting recognition.

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關於作者

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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