Robust Telop Character Recognition in Video for Content-based Retrieval

The recognition of telop characters in video has two problems: edge degradation and background noise. To overcome these problems, this paper proposes; (1) a feature that describes the shape of background region in addition to character region, (2) a classifier that dynamically decreases the influence of noise using the difference in number of pixel within a local area. Experiments show that the two proposals achieve the recognition rate of 76% and the cumulative classification rate within the best ten of 92%. Both values are significantly better than those of conventional methods.

• Type: Conference
• Year: 1999
• Where: ICDAR
• Authors: Minoru Mori, Shoji Kurakake, Toshiaki Sugimura
• Keywords: Background Noise, Cumulative Classification Rate, Document Analysis, ICDAR 1999, Telop Characters