Intelligent Character Recognition: Advancing Machine Perception in Computer Vision

· Computer Vision Buku 104 · One Billion Knowledgeable · Dinarasikan oleh Maxwell (dari Google)
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What is Intelligent Character Recognition


Intelligent character recognition (ICR) is used to extract handwritten text from images. It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents.


How you will benefit


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


Chapter 1: Intelligent character recognition


Chapter 2: Optical character recognition


Chapter 3: Handwriting recognition


Chapter 4: Handwriting


Chapter 5: Optical mark recognition


Chapter 6: Document processing


Chapter 7: Data entry clerk


Chapter 8: Automatic identification and data capture


Chapter 9: Noisy text analytics


Chapter 10: Recognition


(II) Answering the public top questions about intelligent character recognition.


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


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 Intelligent Character Recognition.

Tentang pengarang

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. 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 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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