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