Counterfeit Currency Detection Based on Fluorescence in HSV Color Space
D. Stalin Alex1, P. Subramanian2, S. Subashini3, T. Kumaresan4, B. Stalin5
1Dr. D. Stalin Alex, Professor, Department of IT, Guru Nanak Institute of Technology, Hyderabad (Telangana), India.
2Dr. P. Subramanian, Professor, Department of CSE, Sri Indu College of Engineering and Technology, Hyderabad (Telangana), India.
3Dr. S. Subashini, Professor, Department of CSE, Sethu Institute of Technology, Madurai (Tamil Nadu), India.
4Dr. T. Kumaresan, Professor, Department of CSE, Sri Indu College of Engineering and Technology, Hyderabad (Telangana), India.
5Dr. B. Stalin, Assistant Professor, Department of Mechanical Engineering, Anna University, Regional Campus Madurai (Tamil Nadu), India.
Manuscript received on 19 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 15-18 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00040581S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Fake currency notes are so perfect nowadays that it is very tough to differentiate them from original currency notes. Due to technological advancements, it has become very easy for counterfeiter’s to imitate all the characteristics of the original currency except the illumination or glow that occurs when the currency notes are induced to UV radiation. The proposed approach is based on this selective feature of color illumination which can be identified when the captured image is converted into HSV color space. Histogram equalization is done in HSV color space which collectively performs noise reduction, filtering and sharpening to enhance image quality for effective use in applications. The original currency will have high intensity color values compared to the fake currency that can be verified by using the thresholding technique. Thus, the proposed method is very simple, efficient and time saving.
Keywords: HSV (Hue, Saturation And Value), Color Space, Histogram Equalization, Threshold, Fake Currency.
Scope of the Article: Smart Spaces