Towards a BioAPI Compliant Face Verification System
Author(s)
Yuan, X
Hui, SC
Leung, MHK
Gao, Y
Griffith University Author(s)
Year published
2004
Metadata
Show full item recordAbstract
Standards are important to the growth and acceptance of emerging industries such as the biometric industry. To promote biometric standard, the BioAPI Consortium has developed a widely accepted BioAPI specification that defines Application Programming Interface (API) for application developers and Service Provider Interface (SPI) for biometric technology developers. In this paper, we propose an implementation of a BioAPI compliant face verification BSP (Biometric Service Provider). In the face verification BSP, Line Edge Map (LEM) is used as the face recognition engine. Primitive biometric functions such as Capture, CreateTemplate, ...
View more >Standards are important to the growth and acceptance of emerging industries such as the biometric industry. To promote biometric standard, the BioAPI Consortium has developed a widely accepted BioAPI specification that defines Application Programming Interface (API) for application developers and Service Provider Interface (SPI) for biometric technology developers. In this paper, we propose an implementation of a BioAPI compliant face verification BSP (Biometric Service Provider). In the face verification BSP, Line Edge Map (LEM) is used as the face recognition engine. Primitive biometric functions such as Capture, CreateTemplate, Process and VerifyMatch have been developed to provide support for face verification. In addition, to demonstrate the proposed face verification BSP, we have developed a BioAPI compliant face verification application for door access control. The performance of the face verification application is also evaluated.
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View more >Standards are important to the growth and acceptance of emerging industries such as the biometric industry. To promote biometric standard, the BioAPI Consortium has developed a widely accepted BioAPI specification that defines Application Programming Interface (API) for application developers and Service Provider Interface (SPI) for biometric technology developers. In this paper, we propose an implementation of a BioAPI compliant face verification BSP (Biometric Service Provider). In the face verification BSP, Line Edge Map (LEM) is used as the face recognition engine. Primitive biometric functions such as Capture, CreateTemplate, Process and VerifyMatch have been developed to provide support for face verification. In addition, to demonstrate the proposed face verification BSP, we have developed a BioAPI compliant face verification application for door access control. The performance of the face verification application is also evaluated.
View less >
Journal Title
Computer Standards and Interface
Volume
26
Issue
4
Publisher URI
Subject
Data management and data science
Distributed computing and systems software