Aec Computing and Applied Mathematics Center (Classic Reprint)

R. Bianchini, M. Shostax

ISBN 10: 1332092497 / ISBN 13: 9781332092499

Published by Forgotten Books, 2018

About this Item

Print on Demand. This book explores the challenges of developing a digital computer input device capable of reading and understanding handwritten FORTRAN programs. It begins with the development of a 2000-specimen library of handprinted characters, and progresses through various experimental techniques for recognition. The author, with experience in adaptive systems, sought to determine not only how to recognize patternsâ "specifically handprinted symbolsâ "but also to develop more general methods of pattern recognition that could be used in other applications. The development of a flying spot scanner to convert specimens to digital form, and the subsequent creation of a binary library tape for use with the IBM 7090, are also detailed. The reader will gain valuable insights into the nature of pattern recognition, the complexities of creating character-recognition systems, and the development of methods that may be applied to other fields of study and technological development. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

Seller Inventory # 9781332092499_0

Bibliographic Details

• Title: Aec Computing and Applied Mathematics Center (Classic Reprint)
• Publisher: Forgotten Books
• Publication Date: 2018
• Language: English
• ISBN 10: 1332092497
• ISBN 13: 9781332092499
• Binding: Paperback
• Condition: New
• Book Type: print-on-demand item
• Seller catalogs:
  • General Engineering

About this title

Synopsis

Explore practical approaches to turning hand-printed data into machine-ready form and speeding up data processing. This book-length report investigates the input problem in computing, offering a focused look at how reliable translation from human input to binary form can cut turnaround time and effort.

The analysis centers on pattern recognition for hand-printed characters, starting with simple area-based comparisons and moving toward more capable data-collection devices. It also documents experiments, the creation of a 2000-specimen binary library, and the design considerations behind a page reader and related hardware. The work connects theoretical methods with tangible hardware options to improve the efficiency of data conversion.

• How input representations can be transformed into machine-friendly forms


• Experiments comparing unknown inputs to reference masks and their outcomes


• Development of an input device, including a flying-spot scanner, and its impact on data handling


• Practical considerations for hardware design and future pattern-recognition work

Ideal for readers who work in computing, data processing, or pattern recognition and want concrete methods and historical context for reducing data-entry bottlenecks.