On Evaluation of Segmentation-Free Word Spotting Approaches without Hard Decisions
On Evaluation of Segmentation-Free Word Spotting Approaches without Hard Decisions
复制标题
关于无需硬决策的无分段词识别方法的评估
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
T. Fingscheidt
中科院分区：
文献类型：
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作者：
Werner Pantke;V. Märgner;T. Fingscheidt
单词识别系统旨在检索文档图像中给定关键字的出现，而无需实际识别完整的文档内容。由于有一种趋势，对分割的词发现方法，我们提出了一种方法来评估这些方法，采用的措施，考虑到检索到的单词位置的质量，而不作出艰难的决定。我们得到一个理想的评价行为的帮助下，合成的例子，并显示现有的评价方法的差异。新的措施，这种行为的介绍和他们的差异进行了举例说明。所提出的评价方法适用于一个国家的最先进的词发现的方法。
Word spotting systems are intended to retrieve occurrences of a given keyword in document images without actually recognizing the full document content. As there is a trend towards segmentation-free word spotting methods, we propose a methodology to evaluate these methods by employing measures that take the quality of the retrieved word locations into account without making hard decisions. We derive a desired evaluation behavior with the help of synthetic examples and show discrepancies of existing evaluation methods. New measures following this behavior are introduced and their differences exemplarily described. The proposed evaluation method is applied to a state-of-the-art word spotting approach.