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Underline denoising
  • Introduction
  • Functional Demo
  • Application Scenarios
  • Related Algorithms
Based on large-scale text underline image training, it automatically locates the underline position, recognizes and removes the underline in the image, improves the accuracy of text recognition, efficiently extracts keywords and judges text types, and automatically catalogs and archives.
Court electronic file finishing
scanning part will be the case materials such as electronic file one-time scanning for electronic files, through the underline image denoising algorithm is optimized, so that the follow-up by accurately extract keywords such as character recognition, automatic archiving and automatic naming (such as the plaintiff, the power of attorney, the business license - the name of the company, contract, etc.). Increase the staff efficiency and save the work cost.
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