Artificial Intelligence-based Indian Currency Note Recognition Using Deep Learning
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Abstract
Automatic identification of Indian banknotes has become increasingly important in both assistive and financial technology domains. In many practical situations, manual denomination recognition can cause confusion, delays, or mistakes, especially for individuals with visual impairments. To overcome such limitations, an intelligent image-based classification system has been developed using deep learning techniques. The system is built upon a Convolutional Neural Network architecture capable of learning distinctive visual patterns directly from currency images. Training data includes multiple denominations captured under different illumination conditions, backgrounds, and viewing angles to improve adaptability in real-world scenarios. Once trained, the model is integrated into an online application that allows users to upload images and receive instant denomination predictions. Performance evaluation indicates reliable and stable classification results across varied testing conditions. This approach provides a practical solution for assistive applications and digital financial environments.
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