International Journal of Scientific Research Engineering &Technology (IJSRET)
In this paper, the authors present an efficient method of scene text detection using two machine learning classifiers: one for generating candidate word regions and the other for the classification of text or nontext components. At first they extract connected components with the help of maximally stable extremal region algorithm. The resulting components are partitioned into clusters with help of an adaboost classifier based on adjacency relationship. After that they extract features for classification from the clusters.