caa a22 4500 605469830 CHVBK 20210128100324.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00500-014-1391-9 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1391-9 Max-min hand cropping method for robust hand region extraction in the image-based hand gesture recognition [Elektronische Daten] [Jinwoo Jeong, Yoonhee Jang] There have been many developments and applications based on hand posture recognition to make human-computer interaction/interfaces more convenient and effective. And, many of these applications are based on the image-processing technique since it can guarantee more information and more flexibility for processing. To develop a hand posture recognition system, the proper extraction of pure hand region is a very important step since it is much related with the final performance and recognition rate. But, by the noisy data due to the illumination, image resolution, and non-uniform distribution of skin colors which could be easily found in real environments, it is not easy to extract the pure hand region exactly. In this research, a simple and effective algorithm for hand cropping, named as max-min hand cropping, is proposed and compared with some of the previous research. Finally, the effectiveness of the proposed method is verified with 152 different hand images from 8 persons and 19 hand postures. Springer-Verlag Berlin Heidelberg, 2014 Max-min hand cropping nationallicence Hand region extraction nationallicence Hand posture recognition nationallicence Human-computer interaction nationallicence Jeong Jinwoo Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea aut Jang Yoonhee Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea aut Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 815-818 1432-7643 19:4<815 2015 19 500 https://doi.org/10.1007/s00500-014-1391-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1391-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jeong Jinwoo Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea aut NATIONALLICENCE 700 1- Jang Yoonhee Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/4(2015-04-01), 815-818 1432-7643 19:4<815 2015 19 500