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What is Spatially Embedded Part Detectors for Text Recognition about?

This paper presents a method for scene character recognition that utilizes spatially embedded discriminative part detectors. By leveraging convolutional neural networks (CNN) to extract local descriptors and learning part detectors, the approach aims to improve recognition accuracy by focusing on salient character parts while mitigating interference from background noise and variations in character presentation. Experimental results demonstrate the effectiveness of this method across multiple datasets, high

Author

bob wu

Language

EN