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Optical Character Recognition
What is Optical Character Recognition Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo or from subtitle text superimposed on an image. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Optical character recognition Chapter 2: Typeface Chapter 3: Handwriting recognition Chapter 4: Image scanner Chapter 5: Optical mark recognition Chapter 6: Intelligent character recognition Chapter 7: Tesseract (software) Chapter 8: OCRopus Chapter 9: CuneiForm (software) Chapter 10: Comparison of optical character recognition software (II) Answering the public top questions about optical character recognition. (III) Real world examples for the usage of optical 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 Optical Character Recognition.
Handwriting Recognition
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...
Optical Braille Recognition
What is Optical Braille Recognition Optical braille recognition is technology to capture and process images of braille characters into natural language characters. It is used to convert braille documents for people who cannot read them into text, and for preservation and reproduction of the documents. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Optical braille recognition Chapter 2: Computer vision Chapter 3: Optical character recognition Chapter 4: Handwriting recognition Chapter 5: Image scanner Chapter 6: Document layout analysis Chapter 7: Document processing Chapter 8: Video tracking Chapter 9: 3D scanning Chapter 10: Optical music recognition (II) Answering the public top questions about optical braille recognition. (III) Real world examples for the usage of optical braille 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 Optical Braille Recognition.
Methods, Models, Simulations and Approaches Towards a General Theory of Change
Other approaches are based on considering (1) periodic changes in structure as for processes of self-organisation; (2) non-periodic but coherent changes in structure, as for processes of emergence; (3) the quantum level of description. Papers in the book study the problem considering its transdisciplinary nature, i.e., systemic properties studied per se and not within specific disciplinary contexts. The aim of these studies is to outline a transdisciplinary theory of change in systemic properties. Such a theory should have simultaneous, corresponding and eventually hierarchical disciplinary aspects as expected for a general theory of emergence.
Autonomic Computing
What Is Autonomic Computing Autonomic computing (AC) refers to the utilization of distributed computing resources that have self-management qualities. These resources can adjust to changes that are unpredictable while masking the fundamental complexity from users and operators. This endeavor, which was started by IBM in 2001, has as its ultimate goal the creation of computer systems that are capable of managing themselves, the overcoming of the constantly increasing complexity of managing computing systems, and the reduction of the barrier that complexity poses to further expansion. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Autonomic computing ...
Processes of Emergence of Systems and Systemic Properties
This book contains the Proceedings of the 2007 Conference of the Italian Systems Society. Papers deal with the interdisciplinary study of processes of emergence, considering theoretical aspects and applications from physics, cognitive science, biology, artificial intelligence, economics, architecture, philosophy, music and social systems. Such an interdisciplinary study implies the need to model and distinguish, in different disciplinary contexts, the establishment of structures, systems and systemic properties. Systems, as modeled by the observer, not only possess properties, but are also able to make emergent new properties. While current disciplinary models of emergence are based on theories of phase transitions, bifurcations, dissipative structures, multiple systems and organization, the present volume focuses on both generalizing those disciplinary models and identifying correspondences and new more general approaches. The general conceptual framework of the book relates to the attempt to build a general theory of emergence as a general theory of change, corresponding to Von Bertalanffy's project for a general system theory.
Systems Development Methods for the Next Century
This book is a result of the ISD'97, Sixth International Conference on Information Systems Development-Methods and Tools, Theory and Practice held August 11-14, 1997 in Boise, Idaho, USA. The purpose of this Conference was to address the issues facing academia and industry when specifying, developing, managing and improving software systems. The selection of papers was carried out by the International Program Committee. All papers were reviewed in advance by at least three people. Papers were judged according to their originality, relevance and presentation quality. All papers were judged purely on their own merits, independently of other submissions. This year's Information Systems Developm...
Intelligent Character Recognition
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.
