文档图像分析：当前图形识别的趋势与挑战
The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.
这本书专注于文档图像处理领域的一个关键问题——图形符号识别，这是一个更大研究领域的模式识别的子领域。它涵盖了几种方法：统计、结构和句法，并考虑上下文讨论它们的优点与缺点。通过全面实验，也探讨了这些方法是否可以结合使用。该书介绍了研究问题、传达基本步骤以及突出的技术、评估指标和协议等研究成果，并关联其立场或方向。然而，它并不局限于仅限于直接孤立的图形（视觉模式）识别；还处理复杂的复合图形符号识别，这是由现实世界的工业问题所激发的。
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