Micro & nano letters | |
In-situ seeding synthesis of walnut kernel-like Ag nanostructures with highly efficient SERS performance | |
article | |
Lihong Dong1  | |
[1] Department of Chemistry, Tonghua Normal University | |
关键词: self-assembly; silver; nanofabrication; nanoparticles; surface enhanced Raman scattering; biocompatible reagents; Ag nanowalnuts; self-assembled nanostructure; single nanoplate; rough surface; high curvature; single particle; surface enhancement; walnut kernel-like Ag nanostructures; surface-enhanced Raman scattering; 4-mercaptobenzoic acid; malachite green molecules; Ag; | |
DOI : 10.1049/mnl.2020.0131 | |
学科分类:计算机科学(综合) | |
来源: Wiley | |
【 摘 要 】
It has been observed that the accuracy of multimodal biometric system is highly dependent on the adequacy of the applied fusion technique. Fusion at sample, template, matching and ranking levels have all proved reasonable contributions to the performance of the multi-modal systems. In this paper, a model that is based on the combination of Principal Component Analysis (PCA) and Stationary Wavelet Transform (SWT) is proposed for the fusion of biometric images. The model comprises image depuration, histogram balancing, pruning and homogenization as well as PCA-based feature extraction stages. The decomposition and fusion of the images (using the extracted features) were based on SWT. The experimental study of the model with standard face and ear images revealed its suitability for obtaining high quality fusion. The obtained Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Standard Deviation (SD) values established the superiority of the proposed model over some related ones.
【 授权许可】
CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND
【 预 览 】
Files | Size | Format | View |
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RO202107100002399ZK.pdf | 531KB | download |