what are challenges of identification of identical twins in face recognition system?
According to my knowledge, until now our human visual system (including eyes and brain) represents the most advanced and accurate system to do face recognition. If this natural system is unable to identify the difference between two identical twins, how to wait achieving this performance by machine?
Identical twins can have biometric signatures that are very similar, especially when the signature is derived from a face image. While face recognition software system exhibited inadequate performance, there is other biometric modalities that can offer a performance increase at the cost of increased invasiveness.
Refer the following link:
https://pdfs.semanticscholar.org/3912/e8bae5adf282ebc82ce5b7832b7a3991ce7b.pdf
Refer this...
Conference Paper Distinguishing Identical Twins by Face Recognition
I think the problem of distinguish between twins is considered to be difficult to apply, because all the problem of detection depend on Data logically can be saparated
For identification twins need to extract fecial attributes based LRPCA HOG LDA and after this may compare this feature vector. Nowadays I think Cognitec FaceVACS is best accuracy for recognition. Need to use multimodul techniques for getting best results
If features also same is difficult to recognize identical twins better can use facial marks.
a) Intrinsic factors - are purely due to the physical nature of the face and are independent of the observer
b) Extrinsic factors: - cause the appearance of the face to alter via the interaction of light with the face and the observer. These factors include illumination, pose, scale and imaging parameters (e.g., resolution, focus, imaging, noise, etc).
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