Max-min hand cropping method for robust hand region extraction in the image-based hand gesture recognition
| LEADER | caa a22 4500 | ||
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| 001 | 605469830 | ||
| 003 | CHVBK | ||
| 005 | 20210128100324.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150401xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1391-9 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1391-9 | ||
| 245 | 0 | 0 | |a Max-min hand cropping method for robust hand region extraction in the image-based hand gesture recognition |h [Elektronische Daten] |c [Jinwoo Jeong, Yoonhee Jang] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Max-min hand cropping |2 nationallicence | |
| 690 | 7 | |a Hand region extraction |2 nationallicence | |
| 690 | 7 | |a Hand posture recognition |2 nationallicence | |
| 690 | 7 | |a Human-computer interaction |2 nationallicence | |
| 700 | 1 | |a Jeong |D Jinwoo |u Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea |4 aut | |
| 700 | 1 | |a Jang |D Yoonhee |u Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/4(2015-04-01), 815-818 |x 1432-7643 |q 19:4<815 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1391-9 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1391-9 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jeong |D Jinwoo |u Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jang |D Yoonhee |u Department of Computer Science and Engineering, Dongguk University-Seoul, 100-715, Seoul, South Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/4(2015-04-01), 815-818 |x 1432-7643 |q 19:4<815 |1 2015 |2 19 |o 500 | ||