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FGR
2011
IEEE
268views Biometrics» more  FGR 2011»
14 years 1 months ago
Emotion recognition using PHOG and LPQ features
— We propose a method for automatic emotion recognition as part of the FERA 2011 competition [1] . The system extracts pyramid of histogram of gradients (PHOG) and local phase qu...
Abhinav Dhall, Akshay Asthana, Roland Goecke, Tom ...
88
Voted
ICDAR
2003
IEEE
15 years 2 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...
WACV
2008
IEEE
15 years 3 months ago
Iris Extraction Based on Intensity Gradient and Texture Difference
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Guodong Guo, Michael J. Jones
75
Voted
ICIP
2009
IEEE
15 years 10 months ago
Integral P-channels For Fast And Robust Region Matching
We present a new method for matching a region between an input and a query image, based on the P-channel representation of pixel-based image features such as grayscale and color i...
ICDAR
2011
IEEE
13 years 9 months ago
Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis
—This paper presents a new method for localization of digit strings with a specific syntax in Farsi/ Arabic document images. First, some features are extracted from all connected...
Ali Abedi, Karim Faez