全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Fusion Approach for Fingerprint Matching for Improved System Accuracy

Keywords: Fusion Matcher , Fingerprint Image Alignment , Ring Model , Cross Correlation , Euclidean Distance , IJCSI

Full-Text   Cite this paper   Add to My Lib

Abstract:

In automated fingerprint identification systems, an efficient and accurate alignment algorithm in the preprocessing stage plays a crucial role in the performance of the whole system, affecting greatly the speed and accuracy otherwise. This paper proposes a fusion scheme (weighted sum) for aligning the enrolled and query images using modified ring model and cross correlation approaches. Both the methods align the pair of fingerprint images based on the single singular point (as a reference point). Matching is then performed using Euclidean distance based matcher. This model is tested on both publicly available (Cross Match Verifier 300 sensor) as well as proprietary (Lumidigm Venus V100 OEM Module sensor) fingerprint databases scanned at 500 dpi. The experiments show that this fusion approach improves the overall system accuracy: FNMR and FMR significantly dropped to 3.23% and 2.67% respectively for Cross Match Dataset and 0% and 1.33% respectively for Lumidigm Dataset. Hence, the combination of these two alignment methods effectively strengthens the performance of the matcher.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133