Document Quality Estimation Using Spatial Frequency Response
Document Quality Estimation Using Spatial Frequency Response
复制标题
使用空间频率响应进行文档质量估计
DOI：
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发表时间：
2018
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通讯作者：
Vineet Gandhi
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文献类型：
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作者：
P. Rai;S. Maheshwari;Vineet Gandhi
目前的文档图像质量评估（DIQA）算法直接将光学字符识别（OCR）精度与文档质量相关联，以构建监督学习框架。这种直接相关性有两个主要限制：（a）OCR可能受到与捕获质量无关的因素的影响，以及（B）它不能解释图像内的模糊变化。另一种可能性是使用人类判断来量化捕获的质量，然而，这是主观的并且容易出错。在这项工作中，我们建立在空间频率响应（SFR）的想法，可靠地量化文档图像的质量。我们通过定量和定性实验，提出的指标导致显着改善文档质量预测相比，使用OCR作为地面真理。
The current Document Image Quality Assessment (DIQA) algorithms directly relate the Optical Character Recognition (OCR) accuracies with the quality of the document to build supervised learning frameworks. This direct correlation has two major limitations: (a) OCR may be affected by factors independent of the quality of the capture and (b) it cannot account for blur variations within an image. An alternate possibility is to quantify the quality of capture using human judgement, however, it is subjective and prone to error. In this work, we build upon the idea of Spatial Frequency Response (SFR) to reliably quantify the quality of a document image. We present through quantitative and qualitative experiments that the proposed metric leads to significant improvement in document quality prediction in contrast to using OCR as ground truth.