TY - GEN
T1 - Connected pattern segmentation and title grouping in newspaper images
AU - Mitchell, Phillip E.
AU - Yan, Hong
PY - 2004
Y1 - 2004
N2 - This paper presents an algorithm that performs automated segmentation and classification of newspaper images. The algorithm discusses a technique for segmenting components that are connected to other components and presents another technique to correctly group titles and subtitles. The algorithm uses a bottom-up approach to initially segment the image, classify patterns and extract text lines. The classified patterns are then merged into complete regions. The algorithm is tested on a set of complex newspaper images taken from the First International Newspaper Segmentation Contest, and the results are compared with the contest results.
AB - This paper presents an algorithm that performs automated segmentation and classification of newspaper images. The algorithm discusses a technique for segmenting components that are connected to other components and presents another technique to correctly group titles and subtitles. The algorithm uses a bottom-up approach to initially segment the image, classify patterns and extract text lines. The classified patterns are then merged into complete regions. The algorithm is tested on a set of complex newspaper images taken from the First International Newspaper Segmentation Contest, and the results are compared with the contest results.
UR - http://www.scopus.com/inward/record.url?scp=10044270694&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-10044270694&origin=recordpage
U2 - 10.1109/ICPR.2004.1334135
DO - 10.1109/ICPR.2004.1334135
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 769521282
VL - 1
SP - 397
EP - 400
BT - Proceedings - International Conference on Pattern Recognition
T2 - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Y2 - 23 August 2004 through 26 August 2004
ER -