| Fingerprint Verification System for Cross-sensor Matching based on LBP and SIFT Descriptors and Score level Fusion |
| Pages: 47-51 (5) | [Full Text] PDF (702 KB) |
| H AlShehri, M Hussain, HA AlSamh, M Zuair |
| College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia |
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Abstract - Fingerprint verification is a popular biometric modality for person authentication. However, existing fingerprint verification systems have been designed with the assumption that the same sensor is used for both enrollment and verification. The performance of these systems significantly declines when different sensors are adopted for enrolment and query (cross matching, fingerprint sensor interoperability problem). In this paper, we propose an automatic fingerprint verification system to solve this problem. Two different sensors result in fingerprints of the same finger, which vary in scale and resolution, but have the same ridge patterns. Based on this observation, the proposed system combines two image-based descriptors, local binary pattern (LBP) and scale-invariant feature transform (SIFT) to address different resolutions and different sizes of fingerprint images. The scores from these two descriptors are fused at score-level. The experimental results show that the proposed system outperforms the state-of-the-art systems such as Minutia Cylinder-Code (MCC) and VeriFinger, which is a commercial Software Development Kit (SDK). |
| Index Terms - Fingerprint Sensor Interoperability, Fingerprint Cross-matching, Fingerprint Recognition, Local Binary Pattern, Scale-Invariant Feature Transform |
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C itation - H AlShehri, M Hussain, HA AlSamh, M Zuair. "Fingerprint Verification System for Cross-sensor Matching based on LBP and SIFT Descriptors and Score level Fusion." International Journal of Computer Science and Software Engineering 7, no. 3 (2018): 47-51. |
| Automation of Number Plate and Weight Scale Readings at a Cane Factory Weighbridge through Image and Character Recognition Techniques |
| Pages: 52-59 (8) | [Full Text] PDF (4.34 MB) |
| SM Sydney |
| Information Technology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, +254, Kenya |
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Abstract - This research paper is focused at designing and developing a factory weighbridge system for clearance of trucks after delivering cane. The system uses Optical Character Recognition and Image Processing Techniques to read and recognize both truck registration numbers and cane weight scales. Recognized number plates are then used to identify a contractor by searching through the system file of contractor name alongside registration number (truck number plates) for a possible match. The net cane weight becomes the difference between truck load with and without weight. The system finally, then prints a delivery voucher that has the name of the contractor, the weight scales readings and time/date of delivery. |
| Index Terms - Optical Character Recognition, Image Processing Techniques, Delivery Voucher, Net Cane Weight, System file |
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C itation - SM Sydney. "Automation of Number Plate and Weight Scale Readings at a Cane Factory Weighbridge through Image and Character Recognition Techniques ." International Journal of Computer Science and Software Engineering 7, no. 3 (2018): 52-59. |
| Awareness of Green Computing in Industries Sector |
| Pages: 60-64 (5) | [Full Text] PDF (458 KB) |
| H Rafae, MI Aslam, I Ahmed, MM Baig, F Alam |
| Department of Telecommunication Engineering , NED University Karachi, Pakistan |
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Abstract - Green Computing has gained various attentions due to rising of energy cost and increasing environmental effect. The aim objective of this paper is to generate the awareness of green computing among different district of industry sector. Green computing is the study and practice of using computer and related resources similar to monitors, printing, storage devices and communication systems in a friendly manner and also reduce energy consumption and minimal or no impact on the environment. Furthermore, most of the Computers is used 24/7 and more than 70% is not used for working instead used for other things. Due to this vast amount of energy is wasted. In this paper, we attempt to introduce the concept of green computing and the method to save energy and money in industries. |
| Index Terms - Green Computing, Environmental, Energy, Consumption |
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C itation - H Rafae, MI Aslam, I Ahmed, MM Baig, F Alam. "Awareness of Green Computing in Industries Sector." International Journal of Computer Science and Software Engineering 7, no. 3 (2018): 60-64. |