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Face Recognition with Statistical Local Line Binary Pattern
2011 Seventh International Conference on Computational Intelligence and Security, 2011In this paper, we present an improved method for face recognition named statistical Local Line Binary Pattern (SLLBP), which is based on Local Binary Pattern (LBP). The basic idea of the algorithm is to first obtain the local binary code along with horizontal and vertical direction separately and the gray-level difference between neighbor pixels, which
Zheng-Chun Sun, Jian Cheng
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Face Recognition with Local Line Binary Pattern
2009 Fifth International Conference on Image and Graphics, 2009In this paper, we introduce a novel face representation method for face recognition, called Local Line Binary Pattern (LLBP), which is motivated from Local Binary Pattern (LBP) due to it summarizes the local spacial structure of an image by thresholding the local window with binary weight and introduce the decimal number as a texture presentation ...
Sanun Srisuk
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Customized Local Line Binary Pattern Method for Finger Vein Recognition
Lecture Notes in Computer Science, 2017Finger vein images present plenty of oriented features. Local line binary pattern (LLBP) and its variance are very good oriented feature representation methods, but their discrimination may be limited, since they does not utilize the class labels in the process of extracting features.
Gongping Yang +2 more
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Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP), 2017Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition.
Septimiu Crisan, Raúl Malutan
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Local Line Binary Pattern Vein Extraction from Dorsal Hand Images for Intruder Detection
2019 E-Health and Bioengineering Conference (EHB), 2019Personal identification techniques could be found in a wide range of systems that process biometric data. Nowadays, fingerprint, voice or iris traits are employed on a large scale for biometric identification. In recent years, the hand vein structure models attracted the researchers’ attention and is considered to be much safer compared to other ...
Raúl Malutan
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2019 38th International Conference of the Chilean Computer Science Society (SCCC), 2019
Massive individuals identification is a challenging problem in modern society. Particularly, finger-vein recognition is an emerging biometric technique with several advantages, especially in terms of security against forgery. In this paper, we propose a hybrid parallel matching process for finger-vein recognition under two different parallel platforms,
Ruber Hernández-García +1 more
exaly +2 more sources
Massive individuals identification is a challenging problem in modern society. Particularly, finger-vein recognition is an emerging biometric technique with several advantages, especially in terms of security against forgery. In this paper, we propose a hybrid parallel matching process for finger-vein recognition under two different parallel platforms,
Ruber Hernández-García +1 more
exaly +2 more sources