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@article{144954,
        author = {Magdum Nitin A. and Kurhe Bhagwan S},
        title = {GroupWise Registration for Human Face Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {6},
        pages = {208-211},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144954},
        abstract = {Now day’s actions are being handled electronically, instead of face to face, pencil and paper.  A face recognition technology in which a person is automatically identify through a digital image. It is basically used in security systems. The face recognition directly captures information about the shapes of faces. The advantage of facial recognition is it recognizes each individual’s skin tone of a human face’s surface, such as the curves of the eye hole, chin and nose etc.
There are many techniques used for face recognition in this paper we are going to discusses new technique known as “Markov Random Field Groupwise Registration Framework” in which the similarity between various facial images are calculated based on deformable transformations. The proposed system requires publically available databases such as: FERET, CAS-PEAL-R1, FRGC, and the LFW. Experimental results demonstrate that the proposed system achieves the better recognition rates as compare to among all the methods.
},
        keywords = {Markov random field, Group mean, Anatomical Signature, Groupwise Registration.},
        month = {},
        }