摘要
In a fingerprint recognition system, the process of extraction of feature points is affected significantly by noise. It happens frequently that important characteristic information is omitted due to an inappropriate noise reduction. In this paper, we present an approach to fingerprint image enhancement which uses a filter mask to increase the contrast between the ridges and valleys and to reduce noise. The proposed approach, different from the methods in the literature, determines mask coefficients according to the aspects of the fingerprint images. The experiments shows the proposed preprocessing for fingerprint images produces good results for most of the fingerprint images.
延伸閱讀
- 廖庭弘（2009）。The Study and Design of Predicting Expert System〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200900019
- Lin, T. J. (2020). Research on Applying Regression Analysis to Efficiency Evaluation [doctoral dissertation, I-SHOU University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0074-3108202011562500
- Rajesh, D. G., & Punithavalli, M. (2014). An Efficient Fingerprint Based Gender Classification System Using Dominant Un-decimated Wavelet Coefficients. Research Journal of Applied Sciences, Engineering and Technology, 8(10), 1259-1265. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201409-201502160005-201502160005-1259-1265
- 左瑞麟、許晉銘、高大宇、王旭正（2016）。A Procedure Study and Construction in Digital Forensics Environments and Developments。載於國立東華大學（主編），TANET2016 臺灣網際網路研討會（頁1086-1092-193）。國立東華大學。https://doi.org/10.6679/TANET.2016.193
- 余豐榮、金憲、李芸茜（2006）。A Study of Engineering Process Control Using Grey Prediction。科學與工程技術期刊，2(3)，49-57。https://doi.org/10.7117/JSET.200609.0049