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» Document Image Retrieval with Local Feature Sequences
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ICDAR
2007
IEEE
15 years 1 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
102
Voted
TCSV
2002
292views more  TCSV 2002»
14 years 9 months ago
Document image segmentation using wavelet scale-space features
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphic...
Mausumi Acharyya, Malay K. Kundu
ICDAR
2003
IEEE
15 years 2 months ago
Proper Names Extraction from Fax Images Combining Textual and Image Features
In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object...
Laurence Likforman-Sulem, Pascal Vaillant, Fran&cc...
78
Voted
IR
2000
14 years 9 months ago
Content-Based Image Retrieval in Astronomy
Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information ...
André Csillaghy, Hans Hinterberger, A. O. B...
SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
14 years 7 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi