Abstract
Nowadays, text detection and localization have gained much popularity in the field of text analysis systems as they pave the way for the number of real-time based applications like mobile transliteration technologies, assistive methods for visually impaired persons, etc. Text detection and localization techniques are used to find the position of text area in the image.This paper intends to present a broad review in this field as five-fold: (1) comparison of document images with scene images and applications of natural scene images, (2) significant and up-to-date traditional machine learning and deep learning-based approaches for the text detection and localization for different languages, (3) various publicly available benchmarked datasets, (4) comparative analysis for other benchmarked datasets and, (5) related challenges and future scope on the field. The paper summarises some of the potential ways in this field, which can serve as a useful reference for the researchers for future exploration of the area.
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Mahajan, S., Rani, R. Text detection and localization in scene images: a broad review. Artif Intell Rev 54, 4317–4377 (2021). https://doi.org/10.1007/s10462-021-10000-8
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DOI: https://doi.org/10.1007/s10462-021-10000-8