• Ms .Shweta Shirpurkar
• Dr.(Mrs).R.A.Ingolikar

Down syndrome is a genetic disorder occurs due to human birth defects, which produces alterations in physical growth and mental retardation. It is chromosomal disorder, people affected by this disease having very specific facial characteristics. Children with Down syndrome generally have distinctive facial characteristics, which leads towards an avenue for developing a computer-aided diagnosis of Down syndrome using images of patients. In this paper, we propose face recognition methods such as Local Binary Patterns and Eigenfaces and test their ability to distinguish between a Down syndrome face and a normal one in digital images. For classification we have used random forest algorithm. Accuracy, precision, recall and F-measure are computed in order to evaluate the classification results

Down syndrome, Eigenfaces , Local Binary Patterns, Face Recognition, Random Forest algorithm.

"Identification of Down syndrome using Face Recognition and Random Forest Classification methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.734-741, May-2018, Available :http://www.jetir.org/papers/JETIR1805132.pdf

"Identification of Down syndrome using Face Recognition and Random Forest Classification methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp734-741, May-2018, Available at : http://www.jetir.org/papers/JETIR1805132.pdf