Digital Signature of Document using Human Palm
Murooj Mohammed Aboodn1, Ziyad Tariq Mustafa Al-Ta’I2, Naji MutarSahib3
1 Murooj Mohammed Aboodn Professor, Department of Computer Science, University of Diyala, Baqubah, Iraq.
2 Ziyad Tariq Mustafa Al-Ta’I, Department of Computer Science, University of Diyala, Baqubah, Iraq.
3Naji MutarSahib, Department of Computer Science, University of Diyala, Baqubah, Iraq.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4293-4298 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1076109119/2019©BEIESP | DOI: 10.35940/ijeat.A1076.109119
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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: A digital signature is a checksum which depends on the time period during which it was produced. Human palm biometric is one of the fastest, accurate, reliable and secure biometric techniques for identification and verification because it provides automatic authentication of an individual based on unique features in palm structure. In this paper, an efficient digital signature model for the document is proposed by using human palm. Human palm can give unique features which can be used in generating a secure digital signature. Therefore, this model consists of two sides: the embedding side and extracting side. The embedding side includes (1) image preprocessing stage:(color to grayscale and histogram equalization). (2) feature extraction stage:(GLCM (Haralick) algorithm). (3) Generating digital signature stage:(Elliptic Curve and Cubic Spline function with MD5 algorithm). While the extracting side contains extracting signature stage and matching stage. The accuracy of the generated digital signature by the proposed model is 100%, however false acceptance rate (FAR) is 0%, false reject rate (FRR) is 0%, and equal error rate (ERR) is 0%.
Keywords: Digital Signature, Palm Print, Elliptic Curve and Cubic Spline function with the MD5 algorithm.