JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Recognition of Passports using CDM Masking and ART2-based Hybrid Network |
| 영문제목(English Title) |
Recognition of Passports using CDM Masking and ART2-based Hybrid Network |
| 저자(Author) |
Kwang-Baek Kim
Jae-Hyun Cho
Young Woon Woo
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| 원문수록처(Citation) |
VOL 06 NO. 02 PP. 0213 ~ 0217 (2008. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
This paper proposes a novel method for the recognition of passports based on the CDM(Conditional Dilation Morphology) masking and the ART2-based RBF neural networks. For the extraction of individual codes for recognizing, this paper targets code sequence blocks including individual codes by applying Sobel masking, horizontal smearing and a contour tracking algorithm on the passport image. Individual codes are recovered and extracted from the binarized areas by applying CDM masking and vertical smearing. This paper also proposes an ART2-based hybrid network that adapts the ART2 network for the middle layer. This network is applied to the recognition of individual codes. The experiment results showed that the proposed method has superior in performance in the recognition of passport. |
| 키워드(Keyword) |
Passports
CDM Masking
ART2-based RBF Hybrid Network
Horizontal Smearing
Contour Tracking Algorithm
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| 파일첨부 |
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