PDF Revise OCR AS/a Level Biology Revision Guide UPDF Download
- Author: Kayan|Pearson Parker (Colin)
- Publisher:
- ISBN: 9781292340562
- Category : Electronic books
- Languages : en
- Pages : 0
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The books in this series present revision in a straightforward and user-friendly way. The authors give tips on common pitfalls and each guide contains help with the best ways to tackle different types of exam questions.
The OCR A Level Biology A Revision Guide provides comprehensive, specification-matched content, packed with engaging revision and practice material to keep you focused. It also contains a wealth of exam-style questions to test your knowledge and skills to help you fully prepare for the exams.
Our Revision Workbooks are designed to help students develop vital skills throughout the course and build their confidence in preparation for the exam, with guided questions, unguided questions, practice papers and a full set of answers.
The OCR A Level Biology A Revision Guide provides comprehensive, specification-matched content, packed with engaging revision and practice material to keep you focused. It also contains a wealth of exam-style questions to test your knowledge and skills to help you fully prepare for the exams.
Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress. Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography. Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.