… In this work we present a framework for the recognition of naturalscenetext. Our framework … recognition on the whole image holistically, departing from the character based recognition …
… For these reasons, scenetextrecognition has attracted great … Recognition (OCR) [26], recognizing text in natural images, rather than scanned documents, is still challenging. Scenetext …
… of word detection and recognition in natural images. The … While scenetextrecognition has generally been treated with … the door for real world scenetextrecognition to benefit from the …
… We design a novel scenetextrecognition algorithm that learns a descriptive and robust text … Synthetic data and artificial neural networks for naturalscenetextrecognition. In: NIPS …
王建新, 王子亚, 田萱 - Journal of Software, 2020 - jos.org.cn
… of naturalscenetext detection and recognition and the main … of naturalscenetext information processing, the text detection model, textrecognition model and end-to-end textrecognition …
… The research field of scenetextrecognition … Naturalscene images usually suffer from low resolution and low quality, perspective distortion and complex background [1]. Scenetext is …
… In principle, directly compressing features of text into a one-… In this paper, we approach scenetextrecognition from a two-… the scenetext recognition problem in a new and natural …
B Su, S Lu - Computer Vision–ACCV 2014: 12th Asian Conference …, 2015 - Springer
… However, there still exists a large gap for computer understanding of texts in naturalscene. This paper presents a novel scenetextrecognition system that makes use of the HOG feature …
… naturalscenetextrecognition, we have three classes of methods that are: (i) methods [3] to recognize the segmented text … and recognize the text without segmentation of text lines using …