Face Recognition Based on Improved SIFT Features
نویسندگان
چکیده
منابع مشابه
Face Recognition using SIFT Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigning them to persons in a database. This paper proposes using SIFT features [4] for the recognition process. The new technique is compared with well-established face recognition algorithms, namely Eigenfaces [7] and Fish...
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The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully applied to a variety of computer vision problems based on feature matching including object recognition, pose estimation, image retrieval and many others. However, in real-world applications there is still a need for impro...
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From 1970, research on automated face recognition has been on the rise. Since then many techniques and algorithms have been designed each one trying to provide better efficiency than the earlier one. This field of biometric analysis has found its use in many practical applications and with rising technologies each day, its exhaustive use in future is also expected. In this paper we have studied...
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Combining the feature sets that are invariant to global as well as to local variations of face images would be an efficient approach to construct an optimal face recognition system. Thus, identification and combination of complementary feature sets has become an active topic of research in recent days. In this paper, a combination of two useful methods, i.e. Zernike Moments (ZMs) and Scale Inva...
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ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2013
ISSN: 1812-5638
DOI: 10.3923/itj.2013.3921.3925