한국방송∙미디어공학회:학술대회논문집 (Proceedings of the Korean Society of Broadcast Engineers Conference)
- 한국방송∙미디어공학회 2018년도 하계학술대회
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- Pages.84-87
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- 2018
합성곱 신경망을 사용한 임베디드 시스템에서의 실시간 손글씨 인식
Real-Time Handwritten Letters Recognition On An Embedded Computer Using ConvNets
- Hosseini, Sepidehsadat (Seoul National University) ;
- Lee, Sang-Hoon (Seoul National University) ;
- Cho, Nam-Ik (Seoul National University)
- 발행 : 2018.06.20
초록
Handwritten letter recognition is important for numerous real-world applications and many topics like human-machine interaction, education, entertainment, and more. This paper describes the implementation of a real-time handwritten letters recognition system on a common embedded computer. Recognition is performed using a customized convolutional neural network, which was designed to work with low computational resources such as the Raspberry Pi platform. The experimental results show that the proposed real-time system achieves an outstanding performance in the accuracy rate and the response time for recognition of twenty-six handwritten letters.
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