• Y.ANGEL BLESSY

Face recognition is a technique used to classify or substantiate the person based on digital image from only one of its kind face humans. The biometrics and face recognition is based an individual and unique person identification. This work fully based on compare the one image with other person image for identification of the human face. This is the one of the way to do the comparison by selected facial features from the image and a facial database. It provides security systems and compared to other existing biometric system such as fingerprint or eye iris recognition systems. But due to the above method the main difficult problem is to identify twins. The proposed algorithm is solved to all related problems. It is used different facial recognition algorithms. In facial recognition algorithms should be able to identify the similar looking individuals or able to separate the identical twins using face recognition with accuracy classification. The extracted features were classified using SVM classifier. The input person is first detected to be twins or not based on classification method. If the persons were identified to be twins then they were identified to be same person or different. If the persons were identified to be twins then the persons were identified separately. The performance of the process is measured

Biometrics, extracted features, face recognition, SVM classifier

"A NOVEL HEURISTIC ANALYSIS OF FACE IDENTIFICATION AMIT TWINS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.72-75, June 2019, Available :http://www.jetir.org/papers/JETIR1907G52.pdf

"A NOVEL HEURISTIC ANALYSIS OF FACE IDENTIFICATION AMIT TWINS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp72-75, June 2019, Available at : http://www.jetir.org/papers/JETIR1907G52.pdf