Multi-script text versus non-text classification of regions in scene images
نویسندگان
چکیده
منابع مشابه
Understanding Text in Scene Images
With the rapid growth of camera-based mobile devices, applications that answer questions such as, “What does this sign say?" are becoming increasingly popular. This is related to the problem of optical character recognition (OCR) where the task is to recognize text occurring in images. The OCR problem has a long history in the computer vision community. However, the success of OCR systems is la...
متن کاملText Recognition and Translation of Multi-Oriented, Multi-Language and Curved Text in Natural Scene Images
This study is about text detection and recognition in natural scene images. The main focus is on the detection, recognition and eventually, translation, of multi-oriented, multi-language and curvilinear text in such images. The study attempts to provide a solution that can detect and recognise such text since current leading mobile applications such as Word Lens and Google Goggles do not suppor...
متن کاملText Detection in Multi-Oriented Natural Scene Images
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract With the growing number of digital multimedia libraries, the need to efficiently index, browse and retrieve multimedia information is increased. Text embedded in images and video frames can help to identify the image information (e.g. somebody's na...
متن کاملCohesive Multi-oriented Text Detection and Recognition Structure in Natural Scene Images Regions Has Exposed
Scene text recognition brings various new challenges occurs in recent years. Detecting and recognizing text in scenes entails some of the equivalent problems as document processing, but there are also numerous novel problems to face for recognizing text in natural scene images. Recent research in these regions has exposed several promise but present is motionless much effort to be entire in the...
متن کاملText & Non-Text Segmentation in Colored Images
The purpose of this paper color images with complex background for text and non-text segmentation is to propose a new system. The existing text extraction methods in the case of images with complex background do not work efficiently. Locating text in case of variation in style, color, as well as complex image background makes text reading from images challenging. Here the approach used is based...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Visual Communication and Image Representation
سال: 2019
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2019.04.007