Hand Vessels Authentication Using SVM Classification in Infrared Images

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MOSLEMI H.; Abaspur Kazerouni i.; Rabaninejad a.

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Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2017 | Volume:5 | Issue:3 (19) Page(s): 27-38

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Information Journal Paper

Title

Hand Vessels Authentication Using SVM Classification in Infrared Images

Author(s)

MOSLEMI H. | Abaspur Kazerouni i. | Rabaninejad a. | Issue Writer Certificate

Keywords

Infrared ImagesQ1

Hand VesselsQ1

authentication and ClassificationQ1

Abstract

In this paper, a method is proposed for authentication using Hand Vessels images. This research has three steps: database collection, simulation and verification process. In the database collection step, M hand Infrared Images have been collected from different people for the main train cases. The images have been processed in the pre-processing, feature extraction and modeling steps and then verified by the SVM classifier. The structure of Hand Vessels are unique for different people; thus in this bioassay method, Hand Vessels images have been used for processing and analysis. This assessment showed its high performance in the authentication of 92% and 0% error of assessment on the input samples.

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APA: Copy

MOSLEMI, H., Abaspur Kazerouni, i., & Rabaninejad, a.. (2017). Hand Vessels Authentication Using SVM Classification in Infrared Images. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 5(3 (19) ), 27-38. SID. https://sid.ir/paper/243089/en

Vancouver: Copy

MOSLEMI H., Abaspur Kazerouni i., Rabaninejad a.. Hand Vessels Authentication Using SVM Classification in Infrared Images. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2017;5(3 (19) ):27-38. Available from: https://sid.ir/paper/243089/en

IEEE: Copy

H. MOSLEMI, i. Abaspur Kazerouni, and a. Rabaninejad, “Hand Vessels Authentication Using SVM Classification in Infrared Images,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 5, no. 3 (19) , pp. 27–38, 2017, [Online]. Available: https://sid.ir/paper/243089/en

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