CTPN
Scene text detection using Connectionist Text Proposal Network (CTPN) for detecting text lines in natural images.
What is CTPN?
CTPN is a deep learning model for detecting text lines in natural scene images. It uses a Connectionist Text Proposal Network architecture that combines convolutional and recurrent neural networks to accurately localize text in unconstrained environments. The project provides an implementation and pre-trained model for scene text detection tasks.
Computer vision researchers and developers working on optical character recognition (OCR), document analysis, or scene understanding who need robust text detection in images.
CTPN offers a specialized, research-backed approach to text detection that outperforms generic object detectors for text localization. Its open-source implementation and pre-trained model allow developers to integrate state-of-the-art text detection without training from scratch.
Overview
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Use Cases
Best For
- Extracting text from photographs of street signs and storefronts
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