Robust Text Recognition for Uzbek Language in Natural Scene Images
Mukhriddin MukhiddinovDepartment of Hardware and Software Control Systems in Telecommunication, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanBakhtiyor AkmuradovDepartment of Hardware and Software Control Systems in Telecommunication, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanOybek DjuraevDepartment of Hardware and Software Control Systems in Telecommunication, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
2019 International Conference on Information Science and Communications Technologies (ICISCT)conference2019en
ABI
Аннотация
Text recognition is a challenging and emerging research area in computer vision. The text which is located in images includes semantic data which is practiced in many various applications such as robot navigation, information retrieval of complex images, street signs, beneficial for visually impaired, automatic read the signboard, etc. We propose a text recognition method for Uzbek language using the Tesseract engine. We show that the model can recognize the Uzbek language, including Latin and Cyrillic alphabet text. The experimental results of the proposed method show robust performance than other methods.
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