Title :
A study on bill handwriting extraction and enhancement
Author :
Wan, Qian ; Zhang, Yuan-Biao
Author_Institution :
Dept. of Comput. Sci. & Technol. & Math. Modeling Innovative Practice Base, Jinan Univ., Zhuhai, China
Abstract :
In this paper, we study on how to qualify the bill handwriting extraction for the sake of enhancement. By calculating in HSV color space, with the price of time consuming, the adjusted thresholding-based method is used to suppress the noise which appears in the extraction of traditional one. During further research, we overcome the incompleteness of traditional color detection-based extraction and then propose an improved method which satisfies the time saving and accurate extraction. Our experimental results show that the achievement of this study is significantly valuable.
Keywords :
feature extraction; handwriting recognition; image colour analysis; image denoising; image enhancement; object detection; HSV color space; color detection-based extraction; handwriting extraction; noise suppression; thresholding-based method; Color; Computer languages; Handwriting recognition; Mathematical model; Noise measurement; Pixel; HSV color space; color detection; handwriting extraction; thresholding;
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Print_ISBN :
978-1-4244-6931-4
DOI :
10.1109/ICAMS.2010.5553054
