CNN 기반 딥러닝을 이용한 임베디드 리눅스 양각 문자 인식 시스템 구현

An Implementation of Embedded Linux System for Embossed Digit Recognition using CNN based Deep Learning

Over the past several years, deep learning has been widely used for feature extraction in image and video for various applications such as object classification and facial recognition. This paper introduces an implantation of embedded Linux system for embossed digits recognition using CNN based deep learning methods. For this purpose, we implemented a coin recognition system based on deep learning with the Keras open source library on Raspberry PI. The performance evaluation has been made with the success rate of coin classification using the images captured with ultra-wide angle camera on Raspberry PI. The simulation result shows 98% of the success rate on average.