Palm Vein Image Classification using Neural Network
P. Vijaya Kumar1, Kshema Maria George2, Akhil Krishnan Nair3, M. Sangeetha4
1P. Vijaya Kumar, Associate Professor, Department of ECE, SRM IST, Chennai (Tamil Nadu), India.
2Kshema Maria George, Department of ECE, SRM IST, Kattankulathur, Chennai (Tamil Nadu), India.
3Akhil Krishnan Nair, Department of ECE, SRM IST, Kattankulathur, Chennai (Tamil Nadu), India.
4M. Sangeetha, Associate Professor, Department of ECE, SRM IST, Chennai (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 24 January 2019 | PP: 122-124 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: Es2049017519/19©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: Image classification is the process of identifying and deciding what the image is by analysing the numerical properties of the different features of image and then organizing these data into categories. Image classification consists of training and testing. This is implemented using Raspberry Pi and an IR Camera module. And the classification is done using artificial intelligence. The various steps related to this are pre-processing of image, detecting ROI, extraction of features, neural network etc. Image classification is core for computer vision and has numerous practical applications. Two of these are baggage scanning and palm vein recognition. The technique of image processing and artificial intelligence can be used to scan the objects in a baggage and to indicate whether the object is dangerous or not. Palm vein recognition is a very useful and reliable tool for biometrics. Its advantage is that it can detect whether a person is dead or alive and since it is hidden inside the skin it is almost impossible to be imitated and won’t be affected by various skin problems as in the case of fingerprint recognition technique. Thus the results from our experiment can be used for wide variety of applications.
Keywords: Palm Vein, Pre-Processing, PNN, CNN.
Scope of the Article: Image Security