Text Line Detection Using Connected Components

Today?s digital era, the attention towards camera based text processing has increased many folds. This has led to the development of multiple text processing methods. Most of the procedures follow a scene text detection manner and further improvement is needed in camera captured images. In this research paper we present a survey and analysis of the existing methods in text line detection for camera captured images. In this work we have identified text-line detection methods such as MSER with Ada boost, State Estimation, Texture Based SVM, Chain Level Classification, CMSER Algorithm, Graph Model, and Fuzzy Method. MSER with Ada boost is the better one, it is robust and efficient.