AN ADVANCED SCALE INVARIANT FEATURE TRANSFORM ALGORITHM FOR FACE RECOGNITION
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 3
Abstract
In computer vision, Scale-invariant feature transform (SIFT) algorithm is widely used to describe and detect local features in images due to its excellent performance. But for face recognition, the implementation of SIFT was complicated because of detecting false key-points in the face image due to irrelevant portions like hair style and other background details. This paper proposes an algorithm for face recognition to improve recognition accuracy by selecting relevant SIFT key-points only that by rejecting false key points. In the new proposed Haar-Cascade SIFT algorithm (HC-SIFT), the accuracy in face recognition has been increased from 52.6% to 75.1% from SIFT to HC- SIFT algorithm.
Authors and Affiliations
Mohammad Mohsen Ahmadinejad , Elizabeth Sherly
Keywords
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