Study of Innovating Threshold Value Processing for Character Detection in Scene Image
Kosuke Ozaki, Yosuke Higashinaka, Lifeng Zhang · 2015
Detecting the existence of character in a scene image using character shape features has been proposed until now. But many edges of scene are similar to features of character and cause false detection. It is means that using character shape feature only has a limit to improve the accuracy. And, there is a method that focuses on the environment in which the character exists. It is possible to improve the detection accuracy by using this method. But there is a case in which the leak of detection occurred because character area and non-character area cannot be separated accurately. This happening is thought due to the threshold processing. Therefor this study uses the Sauvola method as the threshold processing. Simulation shows the comparison between the proposed method and conventional one.