Intelligent Character Recognition: Advancing Machine Perception in Computer Vision

Fouad Sabry

2024. g. maijs · Computer Vision 104. grāmata · One Billion Knowledgeable · MI ierunātājs: Maxwell (no 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.

Par autoru

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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