期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN:2158-107X
电子版ISSN:2156-5570
出版年度:2019
卷号:10
期号:10
页码:415-421
出版社:Science and Information Society (SAI)
摘要:The development of deep learning in computer
vision has motivated researches in related fields, including Optical
Character Recognition (OCR). Many proposed models and
pre-trained models in the literature demonstrate their efficient
in optical text recognition. In this context, image processing
techniques has an essential role in improving the accuracy of
recognition task. Because, depending on the practical application,
image text often suffering several degradation from blur, uneven
illumination, complex background, perspective distortion and so
on. In this paper, we propose a method for pre-processing, text
area extraction and segmentation of Vietnamese Identification
Card, in order to improve the accuracy of Region of Interest
detection. The proposed method was evaluated with a large
data set with different practical qualities. Experiment results
demonstrate the efficiency of our method.
关键词:Optical Character Recognition (OCR); text identification;
identification card detection and recognition