Character Segmentation in Brahmi Script: Object Detection and KNN Fusion Approach

Key Points

• Effective character segmentation leads to improved recognition accuracy for Brahmi script, enhancing digital processing.
• Object detection methods were integrated with a KNN fusion approach, yielding a 90% accuracy rate in segmentation tasks.
• This study employed a systematic evaluation using multiple datasets to validate the segmentation method in various contexts.
• Findings highlight the potential for increased efficiency in text recognition technologies, especially in historical document analysis.