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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국인공지능학회 인공지능연구 인공지능연구 제5권 제1호
- 발행연도
- 2017.6
- 수록면
- 10 - 17 (8page)
- DOI
- 10.24225/kjai.2017.5.1.10
이용수
초록· 키워드
오류제보하기
This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM’s information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.
목차
등록된 정보가 없습니다.
참고문헌 (8)
참고문헌 신청
Ahn, S. M. / 2017 / Deep Learning Model and Its Applications
Ahn, M. H. / 1995 / Developed algorithm trading system for machine learning / Proceedings of the Korea Simulation Society
Kensorflowkorea
Kim, I. J. / 2015 / Recent Development Trends of Deep Learning Technology for Visual Recognition / Information Science Society 32:15~20
Lyu, B. I. / 2015 / Trend of Deep Learning Based Image Recognition Near Human Level / Information Science Society 32:32~41
Ahn, M. H. / 1995 / Developed algorithm trading system for machine learning / Proceedings of the Korea Simulation Society
Kensorflowkorea
Kim, I. J. / 2015 / Recent Development Trends of Deep Learning Technology for Visual Recognition / Information Science Society 32:15~20
Lyu, B. I. / 2015 / Trend of Deep Learning Based Image Recognition Near Human Level / Information Science Society 32:32~41
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