Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
This work tackles the problem of incidental text recognition for computer vision researchers, but it appears incremental as it focuses on benchmarking and comparing existing methods.
The paper addresses the challenge of incidental scene text understanding, which involves detecting and recognizing text in natural images without user intention, by evaluating methods on the ICDAR 2015 Robust Reading Competition Challenge 4 and comparing strategies with prior work.
Different from focused texts present in natural images, which are captured with user's intention and intervention, incidental texts usually exhibit much more diversity, variability and complexity, thus posing significant difficulties and challenges for scene text detection and recognition algorithms. The ICDAR 2015 Robust Reading Competition Challenge 4 was launched to assess the performance of existing scene text detection and recognition methods on incidental texts as well as to stimulate novel ideas and solutions. This report is dedicated to briefly introduce our strategies for this challenging problem and compare them with prior arts in this field.