This paper is published in Volume-3, Issue-3, 2017
Area
Image Processing
Author
Seena Jose
Co-authors
Prof. Shivapanchashari
Org/Univ
Cambridge Institute of Technology, Bengaluru, India
Pub. Date
04 May, 2017
Paper ID
V3I3-1177
Publisher
Keywords
Face Recognition, Gradient Edge Detection, Hair Detection, Gaussian Blur, Contrast Stretching.

Citationsacebook

IEEE
Seena Jose, Prof. Shivapanchashari. Unsupervised Method for Face Photo - Sketch Synthesis and Recognition, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Seena Jose, Prof. Shivapanchashari (2017). Unsupervised Method for Face Photo - Sketch Synthesis and Recognition. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
Seena Jose, Prof. Shivapanchashari. "Unsupervised Method for Face Photo - Sketch Synthesis and Recognition." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

Abstract

Today face recognition is a very important field in biometric identification. Face sketch recognition is one of the special type face recognition. In this paper, presents an unsupervised method for face photo- sketch recognition. The face photo- sketch synthesis has two main steps. One is edge detection for only recognition of face and secondly is for hair detection. In the recognition step, the artist sketch is compared with the generated sketch. PCA and LDA are used to extract features from the sketch images. The k-nearest neighbor classifier with Euclidean distance is used in the classification step. It has a useful application for digital entertainment and law enforcement.
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