Paper Info
Title
Recognition of passports using FCM-based RBF network
Abstract
This paper proposes a novel method for the recognition of passports based on a FCM-based RBF network. First, 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. As the last step, individual codes are recovered and extracted from the binarized areas by applying CDM masking and vertical smearing. This paper also proposes a FCM-based RBF network that adapts the FCM algorithm for the middle layer. This network is applied to the recognition of individual codes. The results of the experiments for performance evaluation on the real passport images showed that the proposed method has the better performance compared with other approaches.
Year
DOI
Venue
2005
10.1007/11589990_179
Australian Conference on Artificial Intelligence
Keywords
Field
DocType
novel method,horizontal smearing,sobel masking,contour tracking algorithm,fcm-based rbf network,individual code,cdm masking,paper targets code sequence,fcm algorithm,better performance
Radial basis function,Masking (art),Pattern recognition,Computer science,Block code,Fuzzy logic,Algorithm,Sobel operator,Artificial intelligence,Distributed computing
Conference
Volume
ISSN
ISBN
3809
0302-9743
3-540-30462-2
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
kwangbaek kim111043.94
Jae-Hyun Cho22011.08
Cheol-Ki Kim353.31