Moreover, the fusion of feature searching approach with watermarking methods has gained prominence in the current years.
The recognition of face images through the proposed fusion of feature sets includes three stages - feature extraction, fusion of similarity score, and classification.
We then used the following greedy forward selection algorithm to find the best fusion of feature-sets.
For improving recognition rate, different fusion methods have been studied such as the fusion of texture features and other features in three body parts, and decision fusion using voting mechanism, probability combination etc.
This process can be divided into three levels: fusion diagnosis of data level, fusion diagnosis of feature level and fusion diagnosis of decision level.
In addition, alternative fusion strategies of features may be followed, for example, by classifying and optimizing for each feature group individually and fusing in a late manner opposed to the herein chosen strategy of accumulating all features in one classifier.
As an example, sample feature level fusion of two feature sets is shown in Figure 5c. Figure 5 A snapshot of fused features and shuffled features.(a) Modified minutiae points of sender.
The method used fusion of angle features for classification, which were then compared to features such as seed color, shape, and texture.
However, the fusion of multiple features should overcome the challenge of the heterogeneous manifestation of various features.
Most papers have considered a fusion of independent features, but few papers[14 16] have considered the dynamic relation between the features.
