Browsing by Author "Kaur A."

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Detection of counterfeit indian currency note osing image processing
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019) Sharan V.; Kaur A.
Most of the country suffering from the problem of counterfeit note. Indian is also part of such problem. As advance in technology, it is possible for anyone to print counterfeit note. Such counterfeit notes are produced without the legal sanction of Government and production of such notes degrades the economy of any country. After demonetization in India Newly 500 and 2000 currency notes are launched but due to misuse of advanced technology, fake currency of such notes are produced by counterfeiter due to its high value and circulated in most of the part of our country. With the production and circulation of such counterfeit notes, it becomes difficult for common people to differentiate whether the currency is real or fake as they differentiate on the basis of physical appearance which effects the economy of our country. Here a system is proposed to differentiate between real and fake note which is based on the image processing technique and implemented in MATLAB. In this technique, first the image of 500 and 2000 rupee note is captured through the digital camera and perform preprocessing in order to remove noise and then mean intensity of RGB channels of image is calculated and further the three different features including Latent image, RBI Logo and denomination numeral with Rupee symbol are extracted to differentiate between real and fake note. The performance of the proposed system achieves good accuracy rate.
Evaluating the role of phenology in managing urban invasions: A case study of Broussonetia papyrifera
(Elsevier GmbH, 2020) Maan I.; Kaur A.; Singh H.P.; Batish D.R.; Kohli R.K.
Multidisciplinary approaches are required for the management of invasive woody species in urban areas. In this context, phenological studies are a useful tool to understand tree development and devise suitable management strategies under urban forestry conditions. The significant role of phenology in attributing competitive advantages to invasive alien species has also been long recognized by community ecologists. Therefore, phenological calendars of invasive species may help in their detection, management and mitigation. In the present study, an attempt has been made to understand the invasive potential of an emerging invasive tree of urban landscapes, Broussonetia papyrifera (paper mulberry; Moraceae), through its phenological assessment by using a standardized numerical scale, BBCH (Biologische Bundesanstalt, Bundessortenamt, CHemische Industrie). The tree is native to southeastern and eastern Asia and the Pacific Islands, and is rapidly spreading across various tropical and subtropical regions. The phenology of B. papyrifera was described in eight principal growth stages (PGSs) with two developmental cycles in a year, presented as primary (January-June) and secondary (June-November) flushes. The observations were further supported by the corresponding dates, photographs, meteorological data (air temperature, precipitation, and photoperiod), and climatic water balance of the study area. Results suggest that the occurrence of two developmental cycles, a prolonged reproductive period, strategy to attract frugivores with brightly colored pulpy fruits, and ability to survive under a wide temperature range help in the spread of B. papyrifera. The phenological scale provided in this study describes accurate and precise developmental stages of the tree that can be used to devise efficient management strategies for its control in urban areas. The information can also be exploited for assessing the climatic conditions required for its prevalence, predicting its future geographic range, and further research.
Improved Image Fusion of Colored and Grayscale Medical Images Based on Intuitionistic Fuzzy Sets
(Taylor and Francis Ltd., 2018) Kumar M.; Kaur A.; Amita
Image fusion is the process of combining the properties of two images into one single image that will show the features of both the images. There are various methods available in the literature to fuse the images. In this paper, an intuitionistic fuzzy logic-based image fusion approach has been implemented for medical images that firstly suppresses the noise and enhances the input images, and merges them efficiently in Hue-Saturation-Intensity domain. Here, enhancement is included because these input images are not always well contrasted and may contain some noise due to the inherent properties of the modalities used for capturing the images. The intuitionistic fuzzy sets are incorporated to handle uncertainties that are often due to vagueness and ambiguity. The results certify that this method significantly improves the output fused image than the image obtained by existing technique both visually and metrically.