End-to-end scene text recognition using tree-structured models
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文摘

We build a part-based tree-structured model (TSM) for each category of character.

The TSM utilizes character-specific global structure information.

The TSMs connect detection and recognition together in a certain way.

We propose the normalized pictorial structure framework to recognize words.

The end-to-end system outperforms state-of-the-art methods considerably.

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