Manasi Patil

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About

Manasi Patil is a researcher in computer vision and document analysis, with a particular focus on text detection and recognition in unconstrained environments. Her work centers on the extraction and interpretation of textual information from natural scenes, a critical challenge for applications in autonomous navigation, assistive technologies, and digital archiving. Her most cited paper, "Street View Text Detection Methods: Review Paper" (2021), provides a comprehensive survey of techniques for locating text in complex, real-world images, synthesizing approaches from traditional image processing to deep learning. This review, which has garnered 9 citations, serves as a foundational resource for researchers entering the field, highlighting the enduring importance of text as a carrier of information in the digital age. Patil’s contributions underscore the vital role of text in bridging visual and semantic understanding, and her work continues to inform advancements in robust, real-time text detection systems.