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ICIP
2008
IEEE
16 years 1 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local ...
Jumpei Koyama, Akira Hirose, Masahiro Kato
ICDAR
2011
IEEE
13 years 11 months ago
Edge-Based Features for Localization of Artificial Urdu Text in Video Images
—Content-based video indexing and retrieval has become an interesting research area with the tremendous growth in the amount of digital media. In addition to the audio-visual con...
Akhtar Jamil, Imran Siddiqi, Fahim Arif, Ahsen Raz...
ICDAR
2003
IEEE
15 years 5 months ago
Recovery of Writing Sequence of Static Images of Handwriting using UWM
It is generally agreed that an on-line recognition system is always reliable than an off-line one. It is due to the availability of the dynamic information, especially the writing...
Kai Kwong Lau, Pong Chi Yuen, Yuan Yan Tang
ICDAR
2007
IEEE
15 years 3 months ago
Iterated Document Content Classification
We report an improved methodology for training classifiers for document image content extraction, that is, the location and segmentation of regions containing handwriting, machine...
Chang An, Henry S. Baird, Pingping Xiu
DAS
2010
Springer
15 years 1 months ago
Overlapped text segmentation using Markov random field and aggregation
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, ...