In the developed countries, many organizations are regarded a...

This paper presents a multiple frames integration based approach to detect and localize static caption texts on news videos. Utilizing the temporal information of videos, the algorithm includes robust text features and the non-text line deletion technique, and yields precise and tight localization for detected text regions. The Canny edge detector is first applied on reference frames and is fol...

Sarcastic text is a type of that contains kind irony, in which negative expressions are expressed as positive by attributing meanings to words contradict their real during communication. During face-to-face communication, changes tone voice, body language, eye contact or word stress make it easier for the other person detect sarcastic expression. However, challenging only through machine learni...

Segmentation-based methods are widely used for scene text detection due to their superiority in describing arbitrary-shaped instances. However, two major problems still exist: (1) current label generation techniques mostly empirical and lack theoretical support, discouraging elaborate design; (2) as a result, most rely heavily on kernel segmentation which is unstable requires deliberate tuning....

Abstract Recent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of and provide visually unpleasant results. In this work, a novel end-to-end framework is proposed based on accurate stroke detection. Specifically, problem decoupled into detection removal; we design separate networks to solve these two subproblems...

Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...

During document scanning, skew is inevitably introduced into the incoming document image. Since the algorithms for layout analysis and character recognition are generally very sensitive to the page skew, skew detection and correction in document images are the critical steps before layout analysis. In this paper, a novel skew detection method based on straight-line fitting is proposed. And a co...