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Multi-script identification helps in automatically selecting an appropriate OCR when video has several scripts; however, script identification in video frames is challenging because low resolution and complex background of video often cause disconnections or the loss of text information. This paper presents a novel idea that integrates the Gradient-Spatial-Features (GSpF) and the Gradient-Structural-Features...
In this paper, we present new features based on Spatial-Gradient-Features (SGF) at block level for identifying six video scripts namely, Arabic, Chinese, English, Japanese, Korean and Tamil. This works helps in enhancing the capability of the current OCR on video text recognition by choosing an appropriate OCR engine when video contains multi-script frames. The input for script identification is the...
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