A novel post-processing method for street text recognition using gps information and string alignment

It is important to recognize text in natural images containing signs. Recognized text from natural images presents valuable information which can be used for translation, location-based services and image searches. As street view services are becoming important for major IT companies, this street text recognition is an important problem to solve. There are a lot of previous studies on street text recognition for English, Chinese and mixed languages. Although a lot of creative recognition methods have been proposed and experimented with, the average recognition rate is around 60∼80%.