Реферат: Computer History Essay Research Paper ABSTRACTCurrent neural

and it has an accuracy of about 80 percent. Eventually this system will be able to evaluate all symbols

with equal accuracy.

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

Those older systems, used for automated processing of forms and documents, are limited to reading typed

block letters. When added to these systems, neural networks improve accuracy of reading not only typed

letters but also handwritten characters. Along with automated form processing, neural networks will

analyze signatures for possible forgeries.

Conclusion

Neural networks are still considered emerging technology and have a long way to go toward achieving their

goals. This is certainly true for financial transaction security. But with the current capabilities,

neural networks can certainly assist humans in complex tasks where large amounts of data need to be analyzed.

For visual recognition of individual customers, neural networks are still in the simple pattern matching

stages and will need more development before commercially acceptable products are available. Speech

recognition, on the other hand, is already a huge industry with customers ranging from individual computer

users to international telephone companies. For security, voice recognition could be an added link to the

chain of pre-established systems. For example, automated account inquiry, by telephone, is a popular method

for customers to determine the status of existing accounts. With voice identification of customers, an

option could be added for a customer to request account transactions and payments to other institutions.

For credit card fraud detection, banks have relied on computers to identify suspicious transactions.

In fraud detection, these programs look for sudden changes in spending patterns such as large cash withdrawals

or erratic spending. The drawback to this approach is that there are more accounts flagged for possible

fraud than there are investigators. The number of flags could be dramatically reduced with optical character

recognition to help focus investigative efforts.

It is expected that the upcoming neural network chips and add-on boards from Intel will add blinding speed

to the current network software. These systems will even further reduce losses due to fraud by enabling

more data to be processed more quickly and with greater accuracy.

Recommendations

Breakthroughs in neural network technology have already created many new applications in financial transaction

security. Currently, neural network applications focus on processing data such as loan applications, and