VIDEO BASED ONLINE SIGNATURE VERIFICATION

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AFRA BAHRAM; GRAILU HADI

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2018 | Volume:4 | Issue:2 Page(s): 59-73

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Information Journal Paper

Title

VIDEO BASED ONLINE SIGNATURE VERIFICATION

Author(s)

AFRA BAHRAM | GRAILU HADI | Issue Writer Certificate

Keywords

ONLINE SIGNATURE VERIFICATION

PEN TIP TRACKING

EXTRACTION OF DYNAMIC FEATURES

WAVELET TRANSFORM

MOTION ENERGY IMAGE

Abstract

Signature is one of the personal identification methods. In this paper we have proposed a signature identification approach which is based on using dynamic information of signature video. It composes of four stages. First, the foreground image is extracted. Second the signature shape is obtained by detecting and tracking the pen tip in each frame. The pen tip detection error rate is decreased using a proposed modification. Third, some features based on energy motion image are calculated. At the last stage, the signature model is formed which is used in signature identification procedure.We have generated a signature video database of 50 persons to evaluate the proposed method. The number of 13 signatures of each person are used for training. In addition 8 genuine and 8 fake signatures are used for testing purposes. The Accuracy and Equal Error Rate measures areobtained as 95.02% and 3.8% respectively.

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APA: Copy

AFRA, BAHRAM, & GRAILU, HADI. (2018). VIDEO BASED ONLINE SIGNATURE VERIFICATION. MACHINE VISION AND IMAGE PROCESSING, 4(2 ), 59-73. SID. https://sid.ir/paper/265703/en

Vancouver: Copy

AFRA BAHRAM, GRAILU HADI. VIDEO BASED ONLINE SIGNATURE VERIFICATION. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2018;4(2 ):59-73. Available from: https://sid.ir/paper/265703/en

IEEE: Copy

BAHRAM AFRA, and HADI GRAILU, “VIDEO BASED ONLINE SIGNATURE VERIFICATION,” MACHINE VISION AND IMAGE PROCESSING, vol. 4, no. 2 , pp. 59–73, 2018, [Online]. Available: https://sid.ir/paper/265703/en

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