A novel post-processing method for street text recognition using gps information and string alignment
SeonYeong Kim, Sunghwan Kim, Hwan-Gue Cho · 2011
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%.