Recognition of Korean Text in Outdoor Signboard Images Using Directional Feature and Fisher Measure
نویسندگان
چکیده
منابع مشابه
A Fast Algorithm for Korean Text Extraction and Segmentation from Subway Signboard Images Utilizing Smartphone Sensors
We present a fast algorithm for Korean text extraction and segmentation from subway signboards using smart phone sensors in order to minimize computational time and memory usage. The algorithm can be used as preprocessing steps for optical character recognition (OCR): binarization, text location, and segmentation. An image of a signboard captured by smart phone camera while holding smart phone ...
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Text Detection in Indoor/Outdoor Scene Images
In this paper, we propose a novel methodology for text detection in indoor/outdoor scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully process indoor/ outdoor scene images having shadows, non-uniform illumination, low contrast and large signal-depende...
متن کاملSignboard Optical Character Recognition
Goal We will specifically tackle the problem of the signboard character recognition. Although OCR has been around for a while and is now commonly used to convert scanned documents [3] and license plate [1] to text, the problem we are tackling here is more interesting. Specifically, the signboard can be of different color, the signboard text can be non-standard, the signboard image can be taken ...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2009
ISSN: 1598-284X
DOI: 10.3745/kipstb.2009.16-b.3.239