Performance Analysis of Fuzzy based Restoration Technique for Ink Bleed-through Degraded Documents

T. Alexander, S.Suresh Kumar, B. Sowmya
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Abstract

Historical manuscripts are written several hundreds of years ago and are available in the various forms like palm leaves, parchments, wood, stone inscriptions etc. These manuscripts are now undergoing quality degradation due to the factors like physical, weather conditions etc. Digitization is the only way to preserve these manuscripts. Perhaps, in the process of digitalization due to the background colour as well as the other noisy disturbances, the digital image suffers from degradation. Many research works have already been done on the palm leaf manuscripts earlier till now. Here, the proposed research work aims at the restoration of degraded papers in various manuscripts types. In the medieval manuscripts typically written on historical paper, most of them are composed by both sides, as the front and back. Though many specific problems were arising due to the above, bleed-through of the ink from the backside to the front end of the historic document is the one considered for this proposed research. This bleed-through typically performs the possible reading or deciphering the valuable information on those specific pages with considerable difficulty. In existing systems, Independent Component Analysis, Image Enhancement techniques and thresholding methods have been used and typically the results obtained are poor. Hence, the proposed work aims at developing the Ink bleed-through removal from degraded documents employing the fuzzy based technique. The input parameters are preprocessed and then applied to the Fuzzy inference system. At this juncture, the parameters are fuzzified and given to the inference engine with the rule base. The fuzzy output is then defuzzified to obtain the desired output.
基于模糊的墨水渗滤退化文档恢复技术性能分析
历史手稿写于几百年前,有各种形式,如棕榈叶、羊皮纸、木头、石刻等。由于物理、天气条件等因素,这些手稿的质量正在下降。数字化是保存这些手稿的唯一途径。也许,在数字化过程中,由于背景颜色以及其他噪声干扰,数字图像会出现退化。迄今为止,对棕榈叶手抄本的研究工作较早。在这里,提出的研究工作旨在修复各种手稿类型的退化论文。在典型的用历史纸书写的中世纪手稿中,大多数是由正面和背面组成的。虽然由于上述原因产生了许多具体的问题,但本研究考虑的是历史文献从背面到前端的墨水渗出。这种渗透通常会以相当大的困难执行这些特定页面上可能的读取或解密有价值的信息。在现有的系统中,已经使用了独立分量分析、图像增强技术和阈值化方法,通常得到的结果很差。因此,提出的工作旨在利用基于模糊的技术开发从退化文件中去除墨水渗出。对输入参数进行预处理后应用于模糊推理系统。在此节点上,对参数进行模糊化,并通过规则库将参数模糊化后的参数传递给推理引擎。然后将模糊输出去模糊化以获得期望的输出。
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