A Novel Framework for Text Recognition in Street View Images

Abstract

This paper addresses a new text recognition solution, which is mainly used for the detection of street view images. This paper employs two different approaches to detect text-based regions and recognise corresponding text fields. The first approach utilises maximally stable extremal regions (MSER), whereas the second approach relies on the class specific extremal regions (CSER) algorithm. Two separate frameworks, designed with respect to the aforementioned methods, are applied to the street view images so as to extract textbased regions. Numerous experiments were performed to evaluate and compare both approaches. Results obtained from the CSER-based approach are especially quite encouraging and verify the system's ability to detect text-based regions and recognise corresponding text fields.