Institution
Universiti Sains Malaysia
Education•George Town, Pulau Pinang, Malaysia•
About: Universiti Sains Malaysia is a education organization based out in George Town, Pulau Pinang, Malaysia. It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 23231 authors who have published 39356 publications receiving 655434 citations. The organization is also known as: USM & University of Science, Malaysia.
Papers published on a yearly basis
Papers
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28 Jan 2005236 citations
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TL;DR: In this paper, the adsorption isotherms of Cu(II) and Pb(II)-I ions on adsorbents were determined and correlated with common isotherm equations such as Langmuir and Freundlich models.
235 citations
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TL;DR: The BAC could be used to effectively adsorb MG from aqueous solutions and the overall rate of dye uptake was found to be controlled by pore diffusion throughout the entire adsorption period.
235 citations
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TL;DR: A new finger vein recognition algorithm based on Band Limited Phase Only Correlation (BLPOC) and a new type of geometrical features called Width-Centroid Contour Distance (WCCD) which can improve the accuracy of finger geometry recognition.
Abstract: A new finger vein recognition algorithm based on Band Limited Phase Only Correlation.Finger width and Centroid Contour Distance for finger geometry recognition.The fusion of vein and geometry for a finger based bimodal biometrics system.A new infrared finger image database is made publicly available on the web. In this paper, a new approach of multimodal finger biometrics based on the fusion of finger vein and finger geometry recognition is presented. In the proposed method, Band Limited Phase Only Correlation (BLPOC) is utilized to measure the similarity of finger vein images. Unlike previous methods, BLPOC is resilient to noise, occlusions and rescaling factors; thus can enhance the performance of finger vein recognition. As for finger geometry recognition, a new type of geometrical features called Width-Centroid Contour Distance (WCCD) is proposed. This WCCD combines the finger width with Centroid Contour Distance (CCD). As compared with the single type of feature, the fusion of W and CCD can improve the accuracy of finger geometry recognition. Finally, we integrate the finger vein and finger geometry recognitions by a score-level fusion method based on the weighted SUM rule. Experimental evaluation using our own database which was collected from 123 volunteers resulted in an efficient recognition performance where the equal error rate (EER) was 1.78% with a total processing time of 24.22ms.
235 citations
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TL;DR: Characterization results revealed that the main component of the shell is calcium carbonate which transformed into calcium oxide when activated above 700 degrees C for 2 h, thus creating another low-cost catalyst source for producing biodiesel.
235 citations
Authors
Showing all 23437 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peter J. Anderson | 120 | 966 | 63635 |
B.H. Hameed | 106 | 328 | 39456 |
Abdul Rahman Mohamed | 84 | 542 | 23633 |
Muhammad Iqbal | 77 | 961 | 23821 |
Xiao-Zeng You | 73 | 763 | 22917 |
Keat Teong Lee | 71 | 276 | 16745 |
Rajeev Singh | 69 | 365 | 17805 |
Abdul Latif Ahmad | 68 | 490 | 22012 |
Hiroyuki Osada | 67 | 651 | 18192 |
Mohammad Jawaid | 65 | 503 | 19471 |
Subhash Bhatia | 63 | 204 | 12804 |
Mohammed Farid | 61 | 299 | 15820 |
Thurasamy Ramayah | 57 | 388 | 12103 |
Colleen Ward | 56 | 173 | 17494 |
Robert R. Twilley | 55 | 166 | 11745 |