专题:Handwritten Text Recognition Techniques

This cluster of papers covers a wide range of topics related to handwriting recognition and text detection, including scene text recognition, document image analysis, neural networks for OCR, signature verification, text localization, and binarization techniques.
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Transmission Tower Condition Detection Algorithm Based on Improved YOLOv7

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AI-assisted automated short answer grading of handwritten university-level mathematics exam

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Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching

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LLM-Enhanced Action-Aware Multi-Modal Prompt Tuning for Image-Text Matching

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Intelligent Transportation-Oriented Real-Time ANPD Using YOLO, CNNs, and Optical Character Recognition

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Development of a Software Model for Classification and Automatic Cataloging of Archive Documents

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XMR: Exact Match Recovery for Evaluating Text Normalization Against Adversarial Unicode Attacks

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A Novel Handwritten Punjabi Signature Dataset for Developing Robust and Scalable Deep-learning based Signature Verification Systems

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OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models

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A Siamese Network-based Approach for Robust Offline Signature Verification Under Data Security

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