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自动化研究所 [4]
长春光学精密机械与物... [2]
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OAI收割 [7]
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期刊论文 [4]
会议论文 [2]
学位论文 [1]
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Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification
期刊论文
OAI收割
NEURAL NETWORKS, 2020, 卷号: 132, 页码: 75-83
作者:
Xi, Dongbo
;
Zhuang, Fuzhen
;
Liu, Yanchi
;
Zhu, Hengshu
;
Zhao, Pengpeng
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/12/01
Global transition patterns
Personal preferences
Missing POI category identification
A Study of Personal Recognition Method Based on EMG Signal
期刊论文
OAI收割
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2020, 卷号: 14, 期号: 4, 页码: 681-691
作者:
Lu, Lijing
;
Mao, Jingna
;
Wang, Wuqi
;
Ding, Guangxin
;
Zhang, Zhiwei
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/09/28
Electromyography
personal identification
personal verification
discrete wavelet transform
ExtraTreesClassifer
continuous wavelet transform
convolutional neural networks
transfer learning
siamese network
A fast and efficient multiple step algorithm of iris image quality assessment (EI CONFERENCE)
会议论文
OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
Shi C.
;
Jin L.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2013/03/25
Iris recognition is one of the most reliable methods of biometrics personal identification. Poor quality iris image will be rejected by recognition system
which will result in the failure of recognition. Therefore iris image quality assessment is very essential to the iris recognition system. In this paper
a multiple step algorithm of iris image quality assessment is proposed to distinguish two kinds of poor quality images
i.e. defocus and occlusion. Experimental results show that the proposed algorithm is fast and efficient for iris image quality assessment. 2010 IEEE.
An image identification system of seal with fingerprint based on CMOS image sensor (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Xue X.-C.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
CMOS image sensors now become increasingly competitive with respect to their CCD counterparts
while adding advantages such as no blooming
simpler driving requirements and the potential of on-chip integration of sensor
analog signal conditioning circuits
A/D converter and digital processing functions. Furthermore
CMOS sensors are the best choices for low-cost imaging systems. An image identification system based on CMOS image sensor is used to identify the seal images that include fingerprint
and then determine whether the seal is fake or not. The system consists of a color CMOS image sensor (OV2610)
a buffer memory
a CPLD
a MCU (P89C61X2)
a USB2.0 interface chip (ISP1581) and a personal computer. The CPLD implement the logic and timing of the system. The MCU and the USB2.0 interface chip deal with the communications between the images acquisition system and PC. Thus PC can send some parameters and commands to the images acquisition system and also read image data from it. The identification of the images of seal is processed by the PC. The structure and scheme of the system are discussed in detail in this paper. Several test images of seal taken by the system are also provided in the paper.
Efficient iris recognition by characterizing key local variations
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2004, 卷号: 13, 期号: 6, 页码: 739-750
作者:
Ma, L
;
Tan, TN
;
Wang, YH
;
Zhang, DX
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2015/09/18
biometrics
iris recognition
local sharp variations
personal identification
transient signal analysis
wavelet transform
基于虹膜识别的身份鉴别方法研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2003
作者:
马力
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2015/09/02
虹膜识别
生物特征识别
身份鉴别
Iris recognition
Biometrics
Personal identification
Personal identification based on handwriting
期刊论文
OAI收割
PATTERN RECOGNITION, 2000, 卷号: 33, 期号: 1, 页码: 149-160
作者:
Said, HES
;
Tan, TN
;
Baker, KD
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2015/11/08
personal identification
writer identification
texture analysis
Gabor filters
handwriting processing
document image processing