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인공신경망을 이용한 손상된 문자의 인식 : Recognition of degraded character using artificial neural network
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 유석인 | - |
dc.contributor.author | 박정재 | - |
dc.date.accessioned | 2010-02-09 | - |
dc.date.available | 2010-02-09 | - |
dc.date.copyright | 2006. | - |
dc.date.issued | 2006 | - |
dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000049345 | kog |
dc.identifier.uri | https://hdl.handle.net/10371/52494 | - |
dc.description | 학위논문(석사) --서울대학교 대학원 :전기. 컴퓨터공학부,2006. | ko |
dc.format.extent | 39 장 | ko |
dc.language.iso | ko | ko |
dc.publisher | 서울대학교 대학원 | ko |
dc.subject | 문자 인식 | ko |
dc.subject | character recognition | ko |
dc.subject | 손상된 문자 | ko |
dc.subject | degraded character | ko |
dc.subject | 복원 | ko |
dc.subject | restoration | ko |
dc.subject | contour feature | ko |
dc.subject | 윤곽선 특성 | ko |
dc.subject | artificial neural network | ko |
dc.subject | 인공 신경망 | ko |
dc.subject | handwritten digits | ko |
dc.subject | 필기체 숫자 | ko |
dc.title | 인공신경망을 이용한 손상된 문자의 인식 | ko |
dc.title.alternative | Recognition of degraded character using artificial neural network | ko |
dc.type | Thesis | - |
dc.contributor.department | 전기. 컴퓨터공학부 | - |
dc.description.degree | Master | ko |
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