منابع مشابه
Robust Text Reading in Natural Scene Images
In this paper, we consider applying multilayer, convolutional neural networks to construct a complete end-to-end text recognition system with performance comparable to the current state-of-the-art. Such a system demonstrates the possibility of using a single, unified architecture for both text detection and recognition with minimal need for elaborate hand-engineering of features.
متن کاملUnified Detection and Recognition for Reading Text in Scene Images
UNIFIED DETECTION AND RECOGNITION FOR READING TEXT IN SCENE IMAGES
متن کاملText Extraction from Natural Scene Images using Region based Methods-A Survey
Text embedded in image provides high-level semantic information for automatic annotation, indexing and retrieval. Text extraction involves detection, localization, extraction, enhancement and recognition of the text from the given image. However, variations of the text due to differences in size, style, orientation and alignment as well as low image contrast and complex background make the prob...
متن کاملUnderstanding 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 کاملAssistive Text Reading from Natural Scene for Blind Persons
Text information serves as an understandable and comprehensive indicator, which plays a significant role in navigation and recognition in our daily lives. It is very difficult to access this valuable information for blind or visually impaired persons, in particular, in unfamiliar environments. With the development of computer vision technology and smart mobile applications, many assistive syste...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/10726-5678