A STUDY OF TECHNIQUES ON SECURING PATIENT CONFIDENTIAL INFORMATION USING ECG STEGANOGRAPHY

dc.contributor.authorRadha N
dc.contributor.authorRehana Banu H
dc.date.accessioned2020-09-21T09:54:12Z
dc.date.available2020-09-21T09:54:12Z
dc.date.issued2018-10
dc.description.abstractPlants play an important role in the earth’s ecology. Without plants, human lives cannot exist in this world. But in the recent days, people are not having knowledge about many types of valuable plants. They are at the risk of extinction. So, it is necessary to protect plants and to catalogue various types of flora diversities and it is important to maintain plant databases which pave a way towards conservation of earth’s biosphere. In the world wide, there are a huge number of plant species available. To handle such volumes of information, development of a quick and efficient classification tool using machine learning algorithms is needed. In addition to the conservation aspect, recognition of plants paves a way to use those plants as an alternative energy source. In this paper, various techniques used to classify the leaf images using machine learning algorithms are studied.en_US
dc.identifier.issn2248-9622
dc.identifier.urihttps://www.ijcaonline.org/archives/volume182/number19/radha-2018-ijca-917954.pdf
dc.identifier.urihttps://dspace.psgrkcw.com/handle/123456789/1600
dc.language.isoenen_US
dc.publisherInternational Journal of Engineering Research and Applicationsen_US
dc.subjectMachine learning algorithmsen_US
dc.subjectFeature extractionen_US
dc.subjectLeaf classificationen_US
dc.titleA STUDY OF TECHNIQUES ON SECURING PATIENT CONFIDENTIAL INFORMATION USING ECG STEGANOGRAPHYen_US
dc.typeArticleen_US

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