Robust Features for Frontal Face Authentication in Difficult Image Conditions
نویسندگان
چکیده
In this paper we extend the recently proposed DCT-mod2 feature extraction technique (which utilizes polynomial coefficients derived from 2D DCT coefficients obtained from horizontally & vertically neighbouring blocks) via the use of various windows and diagonally neighbouring blocks. We also propose enhanced PCA, where traditional PCA feature extraction is combined with DCT-mod2. Results using test images corrupted by a linear and a non-linear illumination change, white Gaussian noise and compression artefacts, show that use of diagonally neighbouring blocks and windowing is detrimental to robustness against illumination changes while being useful for increasing robustness against white noise and compression artefacts. We also show that the enhanced PCA technique retains all the positive aspects of traditional PCA (that is, robustness against white noise and compression artefacts) while also being robust to illumination changes; moreover, enhanced PCA outperforms PCA with histogram equalisation pre-processing.
منابع مشابه
Image authentication using LBP-based perceptual image hashing
Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...
متن کاملVideo-to-video face authentication system robust to pose variations
High-quality still-to-still (image-to-image) face authentication has shown success under controlled conditions inmany safety applications. However, video-to-video face authentication is still challenging due to appearance variations caused by pose changes. In this paper, we propose a video-to-video face authentication system that is robust to pose variations by making use of synthesized frontal...
متن کاملAn Improved Accuracy Rate for Face Authentication with Pose Adjustment based-on 2D-3D Transformation
In face authentication and other face biometric methods, an image of a person can be misclassified if the pose of their face is different than that of the training data unless there are steps taken to eliminate these inaccuracies. The methods in this paper are designed to improve the accuracy of a face authentication system when the pose between the input image and training images are different...
متن کاملOGNJEN ARANDJELOVIĆ: GRADIENT EDGE MAP FOR FRONTAL FACE RECOGNITION 1 Gradient Edge Map Features for Frontal Face Recognition under Extreme Illumination Changes
Our aim in this paper is to robustly match frontal faces in the presence of extreme illumination changes, using only a single training image per person and a single probe image. In the illumination conditions we consider, which include those with the dominant light source placed behind and to the side of the user, directly above and pointing downwards or indeed below and pointing upwards, this ...
متن کاملCompressed Image Hashing using Minimum Magnitude CSLBP
Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which i...
متن کامل