Automatic Recognition for handwritten characters

• Billing Agency

◆ Problems

• Have to check thousands of billings (a huge number) per day visually
  and want to save time and effort.
• In addition, there are many items in billings need to check and the mutual relations
  among items are so complicated, which causes human errors.
• For example, whether the name in the application, the signature by hand,
  and the sealed name are the same.

◆ Solutions

    Dates, handwritten addresses and names on billings can be identified by using AI OCR.

• For handwritten addresses, AI OCR can check if the addresses are the real place names
  based on the past results.
• For signatures and seals that are difficult to recognize as characters, AI OCR helps to
  improve the recognition accuracy based on the past results.
• In addition, AI OCR can judge the validity of application contents from the relevance
  among items on applications.