Segmentation method for face detection in complex background

2000 ◽  
Vol 36 (3) ◽  
pp. 213 ◽  
Author(s):  
Yanjiang Wang ◽  
Baozong Yuan
Keyword(s):  
Face Detection ◽  
Segmentation Method ◽  
Complex Background

Research on Fast Face Detection Algorithm in Complex Background

2014 ◽  
Vol 1030-1032 ◽  
pp. 1779-1782
Author(s):  
Xin Wang ◽  
He Pan
Keyword(s):  
Prior Knowledge ◽  
Face Detection ◽  
Fast Algorithm ◽  
Vertical Direction ◽  
Detection Algorithm ◽  
Color Information ◽  
Human Eye ◽  
Face Region ◽  
Complex Background ◽  
The Face

This paper presents a fast algorithm for face detection in complex background, in which image color information is used first, project upper part of the partition of face in the gray image to horizontal and vertical direction. Determine the eyes positions by the minimum value, and scope the human eye in the face of prior knowledge to judge and adjust the face region.

Based on the Adaboost Algorithm of Face Detection Research

2014 ◽  
Vol 635-637 ◽  
pp. 985-988
Author(s):  
Wei Bo Yu ◽  
Lin Zhao ◽  
Wei Ming He
Keyword(s):  
Face Detection ◽  
Recognition System ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Adaboost Algorithm ◽  
Complex Background ◽  
Complex Image ◽  
Face Recognition System ◽  
Lower Accuracy ◽  
The Face

Because of the influence of complex image background, illumination changes, facial rotation and some other factors, makes face detection in complex background is much more difficult, lower accuracy and slower speed. Adaboost algorithm was used for face detection, and implemented the test process in OpenCV. Face detection experiments were performed on images with facial rotation and complex background, the detection accuracy rate was 85% and 99% respectively, the average detection time of each picture was 16.67ms and 76ms.Experimental results show that the face detection algorithm can accurately and quickly realize face detection in complex background, and can satisfy the requirements of real-time face recognition system.

A novel character segmentation method for serial number on banknotes with complex background

2018 ◽  
Vol 10 (8) ◽  
pp. 2955-2969 ◽  
Author(s):  
Jingling Zhou ◽  
Feng Wang ◽  
Jianrong Xu ◽  
Yun Yan ◽  
Huiqing Zhu
Keyword(s):  
Character Segmentation ◽  
Segmentation Method ◽  
Serial Number ◽  
Complex Background

scholarly journals Global Binary Continuity for Color Face Detection With Complex Background

2017 ◽  
Vol 225 ◽  
pp. 012256
Author(s):  
Bhaskar Belavadi ◽  
K V Mahendra Prashanth ◽  
Sujay S Joshi ◽  
N Suprathik
Keyword(s):  
Face Detection ◽  
Complex Background
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