Abstract
Abstract: We give an outline of camera-based computer vision technology in this paper. It can aid those who are not visually blessed in instantly identifying paper currency. For those who are blind or visually challenged, an effective paper money detection algorithm should have the following qualities: 1) Complete precision; and 2) adaptability in a range of circumstances in various environments and emergence. Many of the currency identification algorithms in use today are constrained to specific situations. We suggest a deep learning strategy focused on high accuracy in this project. This method works well for gathering more class-specific data and is better at handling partial closure and viewpoint changes. Evaluation of transfer learning also demonstrate its efficiency in coping with visual rotation, measures, and illumination changes.
Published Version
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