Id card Detection Using Histograms of Oriented Gradients
Shiela David1, Potru Sarada Sravanthi2, B. Rupa3, S. Vino Anjali4
1Shiela David, Department of CSE, SRM Institute of Science And Technology, Chennai (Tamil Nadu), India.
2Potru Sarada Sravanthi, Department of CSE, SRM Institute of Science And Technology, Chennai (Tamil Nadu), India.
3B. Rupa, Department of CSE, SRM Institute of Science And Technology, Chennai (Tamil Nadu), India.
4S. Vino Anjali, Department of CSE, SRM Institute of Science And Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 708-711 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6236048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: ID card detection technology plays a very important role in today’s society to identify the information database in various sectors. Histogram of Oriented Gradientsis the most widely recognized component descriptors in picture preparing and PC vision and is utilized for object identification. High-security ID verification is a very tough job. Present day object identification and recognition has dynamically turned into a crucial issue in different on-going applications like security systems and government managed savings frameworks. The ID card can be precisely recognized by using a standardized scanner such as a barcode scanner. The particular client legitimately looks at the given data on the ID card and then compares it to the data already given to see if it matches. This type of identification is utilized accurately to remarkably distinguish clients quicker and is progressively effective to give recognizable access control arrangements. The experimental results conducted demonstrate that this strategy can be used to get the exact information of an individual and the required data.
Keywords: Histogram of Oriented Gradients, Identification Card, Barcode Scanner, Anti-Fraud Identification.
Scope of the Article: Service Oriented Architectures