Title :
PixLabeler: User Interface for Pixel-Level Labeling of Elements in Document Images
Author :
Saund, Eric ; Lin, Jing ; Sarkar, Prateek
Author_Institution :
Palo Alto Res. Center, Palo Alto, CA, USA
Abstract :
We present a user interface design for labeling elements in document images at a pixel level. Labels are represented by overlay color, which might map to such terms as ldquohandwritingrdquo, ldquomachine printrdquo, ldquographicsrdquo, etc. The primary purpose is to streamline processes for manual production of ground truth data, which is necessary for training algorithms and evaluating performance. Unlike general paint-type programs, the UI design is targeted specifically toward selection of collections of foreground pixels that are likely to be meaningful elements in a document image analysis context. Our implementation, called PixLabeler, is available for download and allows customized plug-ins for bootstrapping according to the labeling task.
Keywords :
bootstrapping; document image processing; image colour analysis; user interfaces; PixLabeler; bootstrapping; document image analysis context; general paint-type programs; graphics; handwriting; machine print; pixel-level labeling; user interface design; Graphics; Image color analysis; Labeling; Machine learning algorithms; Mice; Noise figure; Pixel; Shape; Text analysis; User interfaces; groundtruth PixLabeler pixel label ScanScribe;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.250