An Analysis of Adaboost Algorithm for Face Detection

G  Radha Priyadharsini   and K  Krishnaveni

doi:10.17485/ijst/2016/v9i19/93855

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An Analysis of Adaboost Algorithm for Face Detection

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i19/93855

Year: 2016, Volume: 9, Issue: 19, Pages: 1-4

Original Article

An Analysis of Adaboost Algorithm for Face Detection

G. Radha Priyadharsini^1* and K. Krishnaveni²

¹Madurai Kamaraj University, Madurai - 625021, Tamil Nadu, India; [email protected] ²Department of Computer Science, Sri SRNM College, Sattur, Virudhunagar - 626203, Tamil Nadu, India

*Author for correspondence
G. Radha Priyadharsini
Madurai Kamaraj University, Madurai - 625021, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objective: The objective of this paper is to evaluate the computation of detecting faces from still images with the utilization of adaboost algorithm. Methods: The dataset is collected from the web. The chosen image is converted into gray scale image. Sum of the pixel values are calculated with the utilization of summed area table. For each step of iteration, adaboost learn and reconstruct the weight value. For classification, cascade classifiers are used to differentiate face and non-face regions. Findings: The method is suitable for frontal view face images only

Keywords: Adaboost, Cascade Classifiers, Pixel Values