Abstract. Text detection in images of natural scenes is important for scene understanding, content-based image analysis, assistive navigation.

Bibliographic details on A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method.

A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method. ACCV Workshops (2) 2014: 106-118.

This paper presents a robust text detection approach based on color-enhanced contrasting extremal region (CER) and neural networks. Given a color natural ...

Jun 20, 2015 · In this paper, we present a robust hybrid method that uses learning-based PDEs for detecting texts from natural scene images. Our method ...

Jul 5, 2024 · In this paper, we present a novel image operator to extract textual information in natural scene images. First, a powerful refiner called ...

Hence, a system is proposed consisting of a sliding window classifier which detects text regions. In these regions Connected Components (CCs) are labeled by ...

Nov 2, 2014 · 11:20am - 11:40am, Oral 01-2: A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-component Method and a ...

A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method · Computer Science. ACCV Workshops.

view all · Publications1. A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method.