Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 4, April 2015
Image Enhancement Techniques in Spatial Domain with Visual Data Mining
Sunanda Nath, Ankit Pawria
Most Image enhancement System deployed in real world applications are unimodal. i. e. , they rely on the evidence of a single source of information. These limitations are addressed by multimodal image verification system as explained in this proposition. Here multimodal image enhancement system generally means the multiple Data enhancement in Spatial Domain. In the proposed novel approach, an efficient algorithm for fingerprint recognition as well as iris recognition using phase components in 2D Fast Fourier Transformation is used in order to achieve the highly robust recognition system. In this paper fingerprint image is taken as the first input and image is enhanced to remove all the redundancies. The Visual data mining techniques enable us to make observations without preconception. These techniques are based on computer graphics, visualization metaphors and methods, information and scientific data visualization, visual perception, visual data formatting and 3D environments for information visualization.
Keywords: Fingerprint, 2D Transformation, Biometric verification
Edition: Volume 4 Issue 4, April 2015
Pages: 671 - 674
How to Cite this Article?
Sunanda Nath, Ankit Pawria, "Image Enhancement Techniques in Spatial Domain with Visual Data Mining", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2041505, Volume 4 Issue 4, April 2015, 671 - 674
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