Euclidean distance is one of the oldest methods for mapping distance between two points. It is highly demandable for matching process. Recently there are many techniques for matching fingerprints. Using Euclidean distance, minutiae based fingerprint matching gives accurate matching results. Euclidean Distance is a distance matching technique which is broadly perusal in computational geometry, image processing, computer graphics and pattern recognition. According to the Euclidean distance formula, simply in the plane the distance between two points is map, and the resulting distance is match with the resulting distance of reference fingerprint for matching. Normalization is significant enhancement technique that applied to renovate the contrast in an image. In the case of noisy fingerprint images, normalization is quite important technique for better and accurate outcomes. This paper deals with to perform Euclidean distance between minutiae points for provide robustness of our algorithm for matching fingerprints to reference fingerprint. The process of determining Euclidean distance is done by a tool of Image processing i.e. Matlab.
Product is not in range to the local public until they have not required information about the product. The QR (Quick Response) code provides a medium, so the consumer can qualified the product. QR code is very popular because of its capability of handle information with the resistant environment. But sometimes, QR code fails due to its manufacturing constraints and the limitation of the storing space. The objective of research is to analyze and conclude the feature characteristics of QR code with the development of effective QR code using VB. NET functionality. It considered that innovators are interest in the use of barcodes to encode more information per area unit than regular, black and-white barcodes. The QR code is nothing but an image that require a special digital QR Code Reader application. This research paper also discuss about the structure, symbology and properties of barcodes.
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