IPCRF:ANEND TO END INDIAN PAPER CURRENCY RECOGNITION FRAMEWORK FOR BLIND AND VSECURITYIMPAIRED PEOPLE
Keywords:
Currency Recognition, Deep Learning, CNN, LSTM, Visually Impaired, Offline Application, Audio Feedback, Tactile Cues, Indian Currency, Assistive Technology.Abstract
The Indian Paper Currency Recognition Framework (IPCRF) is an innovative system designed to assist blind and visually impaired individuals in identifying Indian currency denominations independently. Leveraging advanced deep learning techniques, the framework employs a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) architecture to accurately classify currency notes. The system operates offline, ensuring accessibility in areas with limited internet connectivity. By providing audio feedback and tactile cues, IPCRF enhances the autonomy of visually impaired users in financial transactions.
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References
P. Singh, R. Kaur, and A. Sharma, “Real-Time Indian Currency Recognition System for Visually Impaired Using CNN-LSTM,”
International Journal of Computer Applications, vol. 182, no. 29, pp. 1–5, 2021.
A. Deshpande, “Currency Detection App for the Visually Challenged Using OCR,” International Research Journal of Engineering and Technology, vol. 6, no. 2, pp. 905–909, 2019.
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