ABSTRACT

Current neural network technology is the most progressive of the artificial

intelligence systems today. Applications of neural networks have made the

transition from laboratory curiosities to large, successful commercial

applications. To enhance the security of automated financial transactions,

current technologies in both speech recognition and handwriting recognition are

likely ready for mass integration into financial institutions.

RESEARCH PROJECT

TABLE OF CONTENTS

Introduction 1

Purpose 1

Source of Information 1

Authorization 1

Overview 2

The First Steps 3

Computer-Synthesized Senses 4

The system can learn through trial and error, and it has an accuracy of about 80

Neural networks are composed of simple components called "neurons" each having

100 times more pixels as well as additional circuits that mimic the movement-

· Optical Character Recognition

interconnections. As Herb Brody states, "Neural networks do not require an

It is possible to implement new neural-network based OCR systems into standard

still in the simple pattern matching stages and will need more development

accurately identifying one speaker from another.

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Approximate Word count = 11528
Approximate Pages = 46 (250 words per page double spaced)