112548 -

: The system first focuses on spatially aligning the text. Given that scene text is often skewed or curved, precise alignment ensures that the neural network can "look" at the characters in a standardized orientation.

Article 112548 represents a vital step forward in the field of computational linguistics and computer vision. By combining image enhancement with advanced reasoning, it bridges the gap between ancient scripts and modern digital accessibility, ensuring that the Tibetan language remains legible and preserved in the digital age. 112548

Unlike standard document scanning, scene text recognition (STR) must contend with varied lighting, motion blur, perspective distortion, and complex backgrounds. Tibetan text adds further complexity due to its syllabic structure, where characters often stack vertically (subscripts) or have intricate diacritics. Traditional OCR systems, often optimized for Latin or Hanzi scripts, frequently struggle with the alignment and sequential dependencies inherent in Tibetan. The "Align, Enhance, and Read" Framework : The system first focuses on spatially aligning the text