• Miss.Prachi Vetal
• Dr. R.S.Pawase

With the development of information security, the traditional image encryption algorithm has been far from to ensuring the security of images in the transmission process. This paper presents a new image encryption algorithm, which can improve the security of image during transmission more effectively. The traditional scrambling algorithm based on Arnold transformation only applies to the square area, which is a big limitation. Focus on this, a multi-region algorithm for image scrambling encryption model is proposed, which splits the non-square image to multiple square regions, and scrambles each region .The personal facial images should not be browsed without permission. online facial biometric verification needs to be carried out in the scrambled domain, thus a new challenge to face classification. In this paper, we investigate face verification issues in the scrambled domain and propose a novel scheme to handle this challenge.In this paper propose to make feature extraction from scrambled face images robust, a biased random subspace sampling scheme is applied to construct fuzzy decision trees from randomly selected features, and fuzzy forest decision using fuzzy memberships is then obtained from combining all fuzzy tree decisions.

"Face Recognition For Security System Using Fuzzy Forest Learning Scheme", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.319-326, June 2019, Available :http://www.jetir.org/papers/JETIR1906H23.pdf

"Face Recognition For Security System Using Fuzzy Forest Learning Scheme", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp319-326, June 2019, Available at : http://www.jetir.org/papers/JETIR1906H23.pdf