Annual Conference of KIPS (한국정보처리학회:학술대회논문집)
- 2021.05a
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- Pages.278-281
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- 2021
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
CAPTCHA RECOGNITION BASED ON CONVOLUTION NEURAL NETWORK
컨볼루션 네트워크 기반의 캡차 인식
- Gao, Ling-Feng (Dept. of Computer Science, Hanyang University) ;
- Joe, Inwhee (Dept. of Computer Science, Hanyang University)
- Published : 2021.05.12
Abstract
For a long time, CAPTCHA Recognition has been a major challenge in the field of artificial intelligence. Although there are many related technologies that can solve this identification problem, further breakthroughs are still needed. Based on the existing SSD network, this paper adds a non-block module. Compared with the original SSD network, the recognition rate of SSD + Non-local is improved from 86.12% to 88.47%.In addition, it is worth noting that the recognized character verification code consists of Arabic numerals, uppercase and lowercase English letters.
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