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» Scalable Feature Extraction from Noisy Documents
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ICPR
2006
IEEE
14 years 8 months ago
A Method for the Identification of Noisy Regions in Normalized Iris Images
In this paper we propose a new method for the identification of noisy regions in normalized iris images. Starting from a normalized and dimensionless iris image in the polar coord...
Hugo Proença, Luís A. Alexandre
ICDAR
2003
IEEE
14 years 21 days 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...
ICDAR
2011
IEEE
12 years 7 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
2009
IEEE
14 years 2 months ago
PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents
This paper presents PDF-TREX, an heuristic approach for table recognition and extraction from PDF documents. The heuristics starts from an initial set of basic content elements an...
Ermelinda Oro, Massimo Ruffolo
ICASSP
2011
IEEE
12 years 11 months ago
Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments
In this contribution we present a feature extraction method that relies on the modulation-spectral analysis of amplitude fluctuations within sub-bands of the acoustic spectrum by ...
Niko Moritz, Jörn Anemüller, Birger Koll...