Real-time FPGA-based human iris recognition embedded system: Zero-delay human iris feature extraction

淡江大學機構典藏 > 商管學院 > 資訊管理學系暨研究所 > 會議論文 > Item 987654321/127038

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/127038

题名:	Real-time FPGA-based human iris recognition embedded system: Zero-delay human iris feature extraction
作者:	Hematian, Amirshahram;Chuprat, Suriayati;Manaf, Azizah Abdul;Yazdani, Sepideh;Parsazadeh, Nadia
关键词:	Biometrics;FPGA;Human Identification;Iris Recognition;Pattern Matching;Zero-Delay
日期:	2013-05-09
上传时间:	2025-03-20 12:07:47 (UTC+8)
摘要:	Nowadays most of iris recognition algorithms are implemented based on sequential operations running on central processing units (CPUs). Conventional iris recognition systems use a frame grabber to capture a high quality image of an eye, and then system shall locate the pupil and iris boundaries, unwrap the iris image, and extract the iris image features. In this article we propose a prototype design based on pipeline architecture and combinational logic implemented on field-programmable gate array (FPGA). We achieved to speed up the iris recognition process by localizing the pupil and iris boundaries, unwrapping the iris image and extracting features of the iris image while image capturing was in progress. Consequently, live images from human eye can be processed continuously without any delay or lag. We conclude that iris recognition acceleration by pipeline architecture and combinational logic can be a complete success when it is implemented on low-cost FPGAs.
關聯:	Springer Berlin Heidelberg
显示于类别:	[資訊管理學系暨研究所] 會議論文

文件中的档案:

没有与此文件相关的档案.

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章