https://scholars.lib.ntu.edu.tw/handle/123456789/633722
標題: | An effective fingerprint orientation field estimation method using differential values of grayscale intensity | 作者: | Shen, Ting Wei Hsu, Mao Hsiu Shen, Chun Hsu WEN-FANG WU Lu, Yu Chiao Chu, Chia Chun |
關鍵字: | Fingerprint | Gabor filter | Gaussian blurring | Gradient-based method | Orientation field estimation | 公開日期: | 1-一月-2023 | 卷: | 9 | 來源出版物: | PeerJ Computer Science | 摘要: | Fingerprint orientation field (OF) estimation is important for basic fingerprint image processing and impacts the accuracy of fingerprint image enhancements, such as Gabor filters. In this article, we introduce an OF estimation algorithm based on differential values of grayscale intensity and examine the accuracy and reliability of the proposed algorithm by applying it to fingerprint images processed using Gaussian blurring and the Gaussian white noise process. The experimental results indicate that the OF estimation reliability of the proposed algorithm is higher than the gradient-based method and the power spectral density (PSD) based method in low quality fingerprints. The proposed algorithm is especially useful in noisy fingerprint images, where the OF estimation reliability of the algorithm is 6.46% and 32.93% higher than the gradientbased method and the PSD-based method, respectively. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/633722 | DOI: | 10.7717/PEERJ-CS.1342 |
顯示於: | 機械工程學系 |
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