Word Length-Aware Text Spotting: Enhancing Dense Text Detection and Recognition for Camera-Captured Document Image

IF 5.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-15 DOI:10.1109/TIM.2025.3560748

Hao Wang;Huabing Zhou;Yanduo Zhang;Jiayi Ma;Haibin Ling

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引用次数: 0

Abstract

Text spotting in camera-captured document images faces significant challenges, especially with dense text of variable lengths. Existing approaches falter with the long-tailed distribution of word lengths, leading to decreased performance on words with extreme lengths. To address this issue, we present WordLenSpotter, an end-to-end framework incorporating word length awareness to improve detection and recognition across a wide range of word lengths. Our method utilizes a dilated convolutional fusion module in its image encoder and a transformer framework for joint detection and recognition guided by word length priors. Our innovations include a spatial length predictor (SLP) and a length-aware segmentation (LenSeg) proposal head, enhancing the model’s sensitivity to the spatial distribution of text. Evaluated on our newly constructed DSTD1500 dataset and existing public datasets with dense text, WordLenSpotter demonstrates superior text spotting capabilities, especially in handling the diversity of word lengths in dense text scenes. The code is available at https://github.com/unxiaohao/WordLenSpotter

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单词长度感知文本识别：增强密集文本检测和识别相机捕获的文档图像

相机捕获的文档图像中的文本定位面临着重大挑战，特别是对于可变长度的密集文本。现有的方法由于单词长度的长尾分布而不稳定，导致在极端长度的单词上性能下降。为了解决这个问题，我们提出了WordLenSpotter，这是一个包含单词长度感知的端到端框架，以提高对大范围单词长度的检测和识别。我们的方法在其图像编码器中使用扩展卷积融合模块，并在单词长度先验指导下使用变压器框架进行联合检测和识别。我们的创新包括空间长度预测器（SLP）和长度感知分割（LenSeg）建议头，增强了模型对文本空间分布的敏感性。在我们新构建的DSTD1500数据集和现有的具有密集文本的公共数据集上进行评估，WordLenSpotter展示了卓越的文本识别能力，特别是在处理密集文本场景中单词长度的多样性方面。代码可在https://github.com/unxiaohao/WordLenSpotter上获得

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来源期刊

IEEE Transactions on Instrumentation and Measurement 工程技术-工程：电子与电气

CiteScore

9.00

自引率

23.20%

发文量

1294

审稿时长

3.9 months

期刊介绍： Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.