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Image Segmentation of East OKU Script Using the Bounding Box Method for Cultural Heritage Digitization

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This analysis segments OKU script images using bounding box methods, indicating its role in cultural heritage digitization.

The bounding box method effectively segments individual OKU script characters, enhancing digitization efforts.
Image segmentation by bounding boxes improved character isolation accuracy in the context of cultural heritage.
Using Python on Google Colaboratory, the methodology supports accessible and reproducible digitization practices.
Effective segmentation opens avenues for dataset development and subsequent classification tasks in cultural heritage.

Fikri et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This analysis segments OKU script images using bounding box methods, indicating its role in cultural heritage digitization.

The bounding box method effectively segments individual OKU script characters, enhancing digitization efforts.
Image segmentation by bounding boxes improved character isolation accuracy in the context of cultural heritage.
Using Python on Google Colaboratory, the methodology supports accessible and reproducible digitization practices.
Effective segmentation opens avenues for dataset development and subsequent classification tasks in cultural heritage.

Fikri et al. (2025) studied this question.

View Full Paper

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Bookmark