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Per-pixel bounding-box regression + DBSCAN for handwritten word detection - visual walkthrough of WordDetectorNet [P]
WordDetectorNet predicts an axis-aligned bounding box for each inner-word pixel using a ResNet18-based neural network, then applies DBSCAN clustering to refine the predictions . The system demonstrate
WordDetectorNet predicts an axis-aligned bounding box for each inner-word pixel using a ResNet18-based neural network, then applies DBSCAN clustering to refine the predictions . The system demonstrates a hybrid approach combining deep learning with traditional clustering for detecting handwritten words on a page . The Reddit post provides a visual walkthrough explaining how this per-pixel regression and clustering technique enables accurate word localization for handwritten document analysis.
Source: r/MachineLearning | 2026-05-23