Template-based text field segmentation for ID documents using dynamic squeezeboxes packing

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Michael Zingerenko, Elena Limonova, Vladimir V. Arlazarov
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引用次数: 0

Abstract

In this paper, we focus on the problem of text field segmentation in identity documents. These documents, characterized by their fixed layouts, present an opportunity to apply computationally efficient template-based algorithms. We consider the Dynamic Squeezeboxes Packing method and demonstrate its integration into document recognition systems, utilizing a single sample per document type. We benchmark text field segmentation on the MIDV-2019 public dataset using standard intersection-over-union and our custom intersection-over-template metrics, while also measuring processing time. We demonstrate that Dynamic Squeezeboxes Packing maintains competitive quality compared to text in the wild methods (EAST, CRAFT) and named-entity recognition method (LayoutLMv2). A significant advantage of this method is its processing speed, averaging 9 ms per image on the x86_64 platform, which is substantially faster than EAST (980 ms), CRAFT (2030 ms), and LayoutLMv2 (2210 ms). The obtained results suggest that the considered method has strong potential as a method in document image analysis, particularly for processing identity documents.

Abstract Image

使用动态挤压框包装基于模板的身份证件文本字段分割
在本文中,我们重点讨论身份证件中的文本字段分割问题。这些文件的特点是布局固定,为应用基于模板的高效计算算法提供了机会。我们考虑了动态挤压盒打包方法,并演示了该方法与文档识别系统的整合,每种文档类型只需使用一个样本。我们在 MIDV-2019 公开数据集上使用标准的 "过联合交集 "和我们自定义的 "过模板交集 "指标对文本字段分割进行了基准测试,同时还测量了处理时间。我们证明,与野生文本方法(EAST、CRAFT)和命名实体识别方法(LayoutLMv2)相比,动态 Squeezeboxes Packing 保持了具有竞争力的质量。这种方法的一个显著优势是处理速度快,在 x86_64 平台上,平均每张图像的处理速度为 9 毫秒,大大快于 EAST(980 毫秒)、CRAFT(2030 毫秒)和 LayoutLMv2(2210 毫秒)。所获得的结果表明,所考虑的方法在文档图像分析中,特别是在处理身份证件方面具有很大的潜力。
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来源期刊
Multimedia Tools and Applications
Multimedia Tools and Applications 工程技术-工程:电子与电气
CiteScore
7.20
自引率
16.70%
发文量
2439
审稿时长
9.2 months
期刊介绍: Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools as well as case studies of multimedia applications. It also features experimental and survey articles. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include: - Multimedia Tools: - Multimedia Applications: - Prototype multimedia systems and platforms
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