Face detection is an important step for successful face recognition system. Variation in lighting conditions result in degradation in performance of face detection. Thermal images are not affected by variation in illumination. In this paper, we have proposed a novel face detection algorithm by using thermal imaging. In our proposed algorithm, Otsu's thresholding method is used for converting the thermal images into binary form. Horizontal projection of the image is calculated to identify the global minimum that helps in identifying height and width of the head region. We have developed a UTAR-YK Thermal database to verify the performance of the proposed algorithm. Experimental results show that our proposed algorithm has an average accuracy of 92.16%, that is measured by finding the overlapping ratio between the automatically-detected face region and manually drawn face region. An average 1.13 bounding box ratio, which is the comparison of the size of the box between the automatically-detected face region and manually drawn face region.
Technology is developing with growing concept of digital market. The Digital world is making the planet Eco-friendly. The concept of I-Docket makes this more strongly toward the digitalization of World. I-Docket is the Application developed to reduce the burden of carrying any kind of important documents .So in this paper we have developed the Application which will replace all the hard copy of documents. This Application is useful for storing the user documents and retrieve them whenever and wherever needed. While retrieving the documents the QR(Quick Response) Code is used so that all the multiple documents can be fetched at a time which ultimately saves the time. The Concept of Wallet is also introduced in this application. As the transactions are becoming cashless the Wallet plays an important role in it. The main Aim of Developing the I-Docket Application was to provide security to user documents and save the time while presenting them.
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