Abstract
Face recognition is one of the most challenging problems in thedomain of image processing and machine vision. Face recognition system iscritical when individuals have very similar biometric signature such as identical twins. In this paper, new efficient facial-based identical twins recognition isproposed according to the geometric moment. The utilized geometric momentis Pseudo-Zernike Moment (PZM) as a f extractor inside the facial areaof identical twins images. Also, the facial area inside an image is detected using Ada Boost approach. The proposed method is evaluated on two datasets, Twins Days Festival and Iranian Twin Society which contain scal ed, which contain the shifted and rotated facial images of identical twins in different illuminations. The results prove the ability of proposed method to recognize apair of identical twins. Also, results show that the proposed method is robustto rotation, scaling and changing illumination.
Highlights
Human face is considered as a suitable property to identify people from his image
Park et al [14] proposed an identical twins recognition algorithm that consists of three steps: in the first step, the proposed method marks the face images using normal geometric methods; in the second step, the Euclidean distance between a pair of markers,of test image and images in dataset, are measured and compared; and the final step involves nding the strong similarity on the marked regions
The results prove that Pseudo-Zernike Moment (PZM) is scale, shift and rotation invariant
Summary
Human face is considered as a suitable property to identify people from his (her) image Along with this property, recognition of facial of identical twin is one of the most challenging problems in pattern recognition applications because of the similarity between a pair of twin. Sun et al [16] utilized Cognitec FaceVACS system to recognize identical twins from CASIA Multimodal Biometrics Database. They obtained true accept rate of approximately90% at a false accept rate greater than 10%. Martinet al. [3] employed DNA approach to recognize identical
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