시력 취약 계층을 위한 신용 카드 번호 인식 연구
Credit Card Number Recognition for People with Visual Impairment
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참고문헌
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초록
일반적인 신용카드 번호 인식 시스템은 정해진 위치에 카드를 배치했을 때에만 올바르게 동작하도록 설계되어 있다. 본 논문은, 저시력 장애인을 포함한 시력 취약 계층에게 보다 쉬운 사용자 경험을 제공하기 위해, 신용카드 내 16자리 숫자의 종횡비 특징을 이용한 자동 번호 인식 알고리즘을 제안한다. 제안하는 알고리즘은 형태학 연산을 통해 종횡비가 4:1 이상인 이미지 후보군을 찾고, 각각의 후보에 OCR과 BIN 번호 매칭 기술을 적용하여 신용카드 번호를 획득한다. OpenCV 및 FirebaseML에 기반한 실험 결과, 카드를 정해진 위치에 두지 않아도 77.75% 정확도로 카드 번호를 인식하였다.
Abstract
The conventional credit card number recognition system generally needs a card to be placed in a designated locationbefore its processing, which is not an ideal user experience especially for people with visual impairment. To improve theuser experience, this paper proposes a novel algorithm that can automatically detect the location of a credit card numberbased on the fact that a group of sixteen digits has a fixed aspect ratio. The proposed algorithm first performsmorphological operations to obtain multiple candidates of the credit card number with >4:1 aspect ratio, then recognizesthe card number by testing each candidate via OCR and BIN matching techniques. Implemented with OpenCV andFirebase ML, the proposed scheme achieves 77.75% accuracy in the credit card number recognition task.
참고문헌 (13)
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