PROCEEDING IC-ITECHS 2014
Vol 1 (2014): Prosiding IC-ITECHS 2014

Multiple And Single Haar Classifier For Face Recognition

Go Frendi Gunawan (STIKI Malang)
Subari Subari (STIKI Malang)



Article Info

Publish Date
01 Dec 2014

Abstract

Haar-Classifier is a well-known tool for face detection in an image. Open-CV library already provide a class for Haar-Classifier implementation. However, one significant problem in face detection is tilt-face-pose recognition. In this paper, we will discuss about two different solutions to overcome the problem. The solutions are written in Python which has a very simple syntax. The first solution is using multiple classifier. Each of them is trained to recognize face with different rotation-degrees. The second solution is using single classifier to recognize many face image which have been rotated by different angles.

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