서지주요정보
저품질 신용카드 전표의 효과적인 영상처리 및 인식 = Effective image processing and recognition of low-quality cardslip images
서명 / 저자 저품질 신용카드 전표의 효과적인 영상처리 및 인식 = Effective image processing and recognition of low-quality cardslip images / 박상은.
저자명 박상은 ; Bak, Sang-Eun
발행사항 [대전 : 한국과학기술원, 2001].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8011990

소장위치/청구기호

학술문화관(문화관) 보존서고

MCS 01020

SMS전송

도서상태

이용가능

대출가능

반납예정일

등록번호

9007605

소장위치/청구기호

서울 학위논문 서가

MCS 01020 c. 2

SMS전송

도서상태

이용가능

대출가능

반납예정일

초록정보

Recognition of cardslip image is difficult task due to its intrinsic poor quality. The problem is worsen when digits are often printed on the underlying form lines. A method of recognizing cardslip images is proposed in which image enhancement, intelligent digit extraction and overlapped line processing are focused. In the proposed method, the region of interests (ROI) are extracted by matching the histogram of horizontally projected black pixels of a form model with that of the form to process. Then, several advanced image enhancement techniques such as local thresholding and filtering, is processed to get enhanced image quality. The process is performed only on the ROI`s in order to reduce time to process. Then individual digit images are extracted by placing a fixed size window at a right place. The location of the window is determined by trial and error analysis by recognition score within the constraints on neighboring boxes. A simple Bayesian classifier is used for the digit recognizer, but it makes provision for handling form lines which often interfere proper recognition. Since we may know where the line passing by the form analysis, simply the line passing regions are treated as a don`t-care zone. From an experiment using 57 cardslip images, 56 cardslips are processed successfully and all of the 1626 digits from 56 cardslips of successful processing are correctly recognized. This result is quite satisfiable although we may need more comprehensive evaluation and works to speed up the processing time.

서지기타정보

서지기타정보
청구기호 {MCS 01020
형태사항 iii, 37 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Sang-Eun Bak
지도교수의 한글표기 : 김진형
지도교수의 영문표기 : Jin-Hyung Kim
학위논문 학위논문(석사) - 한국과학기술원 : 전산학전공,
서지주기 참고문헌 : p. 35-37
주제 문자인식
문서처리
카드전표
형식문서
영상처리
Character Recognition
Document Processing
Cardslip
Form Document
Image Processing
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