bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

Vol. 159, Issue 11, November 2013, pp. 7-12

 

Bullet

 

Research and Implementation of Pattern Recognition Based on Adaboost Algorithm
 
1 Luqun CHANG, 2 Zhengfu BIAN

1 Ji'nan Research Institute of Geotechnical Investigation & Surveying, 59 Lishan Road, 250013, Ji'nan, Shandong Province, China

2 Institute of Land Resources, China University of Mining and Technology, Xuzhou, Jiangsu Province, China

 

Received: 28 August 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Pattern recognition and computer vision technology as a long-term subject of concern, which has high academic value and commercial value. Adaboost is an iterative algorithm, and its core idea is to obtain some weak classifier with a training set of training. Finally, a much stronger classifier is obtained by combining weak classifiers. In this paper, we firstly introduce the basic theory of Adaboost algorithm, and then take face recognition as an application example, the training process and the detection process were achieved respectively and independently. Experimental results show the detector based on Adaboost algorithm can accurately detect the location of the face, regardless of their positions, scale, orientation, lighting conditions, expressions, etc., and it has a smaller detection error. Specifically, the detector can effectively detect multiple faces, and it also has much higher detection accuracy.

 

Keywords: Pattern recognition, Computer vision, Face detection, Adaboost algorithm.

 

Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format

 

 

Download <here> the Library Journal Recommendation Form

 

 

 

 

 


1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn