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A RELIABLE BINARIZATION METHOD FOR OFFLINE SIGNATURE SYSTEM BASED ON UNIQUE SIGNER'S PROFILE

机译:基于唯一签名者特征的离线签名系统可靠的二值化方法

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摘要

Previous studies on offline signature verification are still having a main challenge to propose a robust and accurate binarization technique that supports various types of scanned signatures with different resolutions and additional noise. This paper outlines a reliable binarization technique using background estimation to generate three different grayscale images which are implemented to a robust thresholding technique based on Laplacian zero-crossing concept. The three output binary images will be evaluated using ordinal structure fuzzy module (OSFM) to choose the best one to be an input to the next stages. The proposed offline signature system will use only one master signature to build the signer's profile which will be used in the comparison stage. Comparing the proposed thresholding technique with the other ones proves that the false acceptance rate (FAR) and false rejection rate (FRR) have been improved for different types of collected signatures.
机译:先前对脱机签名验证的研究仍面临主要挑战,以提出一种鲁棒且准确的二值化技术,该技术支持具有不同分辨率和附加噪声的各种类型的已扫描签名。本文概述了一种可靠的二值化技术,该技术使用背景估计来生成三个不同的灰度图像,这些图像被实现为基于拉普拉斯过零概念的鲁棒阈值技术。将使用顺序结构模糊模块(OSFM)评估三个输出的二进制图像,以选择最佳图像作为下一阶段的输入。建议的脱机签名系统将仅使用一个主签名来构建签名者的个人资料,该个人资料将在比较阶段使用。将所提出的阈值技术与其他阈值技术进行比较证明,对于不同类型的收集签名,错误接受率(FAR)和错误拒绝率(FRR)已得到改善。

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