Text Detection and Recognition in Imagery: A Survey

This paper analyzes, compares, and contrasts technical challenges, methods, and the performance of text detection and recognition research in color imagery. It summarizes the fundamental problems and enumerates factors that should be considered when addressing these problems. Existing techniques are categorized as either stepwise or integrated and sub-problems are highlighted including text localization, verification, segmentation and recognition. Special issues associated with the enhancement of degraded text and the processing of video text, multi-oriented, perspectively distorted and multilingual text are also addressed. The categories and sub-categories of text are illustrated, benchmark datasets are…

• NS
  National Science Foundation

  Awards: IIS-0812111, IIS -1262122
• CU
  City University of New York
• NU
  National University of Singapore
• NN
  National Natural Science Foundation of China

  Award: 61271433
• CA
  Chinese Academy of Sciences