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» A Novel Binarization System for Degraded Document Images
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ICDAR
2007
IEEE
14 years 4 months ago
Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
J. Chen, Y. Wang
ICDAR
2009
IEEE
14 years 4 months ago
Text Localization in Natural Scene Images Based on Conditional Random Field
This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map,...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
ACML
2009
Springer
14 years 4 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
ICDAR
2003
IEEE
14 years 3 months ago
Localization, Extraction and Recognition of Text in Telugu Document Images
In this paper we present a system to locate, extract and recognize Telugu text. The circular nature of Telugu script is exploited for segmenting text regions using the Hough Trans...
Atul Negi, K. Nikhil Shanker, Chandra Kanth Chered...
SIGDOC
2004
ACM
14 years 3 months ago
Semantic thumbnails: a novel method for summarizing document collections
The concept of thumbnails is common in image representation. A thumbnail is a highly compressed version of an image that provides a small, yet complete visual representation to th...
Arijit Sengupta, Mehmet M. Dalkilic, James C. Cost...