An approach towards text detection from complex images using morphological techniques
Vyankatesh V. Rampurkar, Sahil K. Shah, Gyankamal J. Chhajed, Sanjay Kumar Biswash · 2018 2nd International Conference on Inventive Systems and Control (ICISC) · 2018
Text information in natural scene images serves as important clues for many image-based applications such as scene understanding, content-based image retrieval, assistive navigation, and automatic geocoding. However, locating text from a complex background with multiple colors is a challenging task. Two different techniques using morphological operations are proposed to find text strings from any natural scene images. Proposed techniques are based on siblings' method i.e. adjacent character grouping method and text line grouping method. Text line grouping method can locate text strings situated at arbitrary orientations. Proposed techniques can find text strings by using structure-based partition and grouping methods using morphological operations. Proposed system strives toward Morphological methodologies that aid automatic detection, segmentation and recognition of visual text entities in complex several images and thus resulting in optimal performance as compared with existing techniques.