Mobilenet convolutional neural networks and support vector machines for palmprint recognition
A Michele, V Colin, DD Santika - Procedia Computer Science, 2019 - Elsevier
Due to the ease of handling with low resolution images, low cost hardware and high
recognition accuracy, palmprint recognition has been attracting in the recent years. Many …
recognition accuracy, palmprint recognition has been attracting in the recent years. Many …
Handwritten character recognition using wavelet energy and extreme learning machine
BP Chacko, VR Vimal Krishnan, G Raju… - International Journal of …, 2012 - Springer
This paper deals with the recognition of handwritten Malayalam character using wavelet
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …
Automatic recognition of breast invasive ductal carcinoma based on terahertz spectroscopy with wavelet packet transform and machine learning
We demonstrate an automatic recognition strategy for terahertz (THz) pulsed signals of
breast invasive ductal carcinoma (IDC) based on a wavelet entropy feature extraction and a …
breast invasive ductal carcinoma (IDC) based on a wavelet entropy feature extraction and a …
Contactless palmprint recognition based on convolutional neural network
L Dian, S Dongmei - 2016 IEEE 13th International Conference …, 2016 - ieeexplore.ieee.org
Palmprint recognition has become the novel and effective technology in biological
recognition fields. The contactless palmprint recognition is the mainstream way with its …
recognition fields. The contactless palmprint recognition is the mainstream way with its …
Texture based palm Print recognition using 2-D Gabor filter and sub space approaches
Palm Print based biometric systems have attracted much attention in various security
applications because palm prints are rich with unique line, point and texture patterns which …
applications because palm prints are rich with unique line, point and texture patterns which …
[PDF][PDF] Handwritten text recognition system based on neural network
AM Obaid, HM El Bakry, MA Eldosuky… - Int. J. Adv. Res …, 2016 - researchgate.net
Handwritten text recognition is still an open research issue in the domain of Optical
Character Recognition (OCR). This paper proposes an efficient approach towards the …
Character Recognition (OCR). This paper proposes an efficient approach towards the …
基于二维主成分分析的掌纹识别研究
桑海峰， 苑玮琦， 张志佳， 黄静 - 仪器仪表学报, 2008 - cqvip.com
掌纹作为一种新的生物特征可用来进行人的身份识别. 论文提出了将二维主成分分析方法(
2DPCA) 应用于掌纹识别的特征提取, 并在PolyU 掌纹数据库上利用最近邻分类器与余弦距离 …
2DPCA) 应用于掌纹识别的特征提取, 并在PolyU 掌纹数据库上利用最近邻分类器与余弦距离 …
Extracting region of interest for palmprint by convolutional neural networks
X Bao, Z Guo - 2016 Sixth International Conference on Image …, 2016 - ieeexplore.ieee.org
Palm ROI extraction is one of the most important processes in palmprint recognition. The
core idea is to employ the valley points between the fingers to establish a coordinate system …
core idea is to employ the valley points between the fingers to establish a coordinate system …
Research of palmprint recognition based on 2DPCA
H Sang, W Yuan, Z Zhang - Advances in Neural Networks–ISNN 2009: 6th …, 2009 - Springer
A feature extraction method of palmprint recognition based on Two-Dimensional Principal
Component Analysis (2DPCA) is proposed in this work. A series of experiments were …
Component Analysis (2DPCA) is proposed in this work. A series of experiments were …
Palmprint authentication using fusion of wavelet based representations
SM Prasad, VK Govindan… - 2009 World Congress on …, 2009 - ieeexplore.ieee.org
Wavelets are widely used to extract the texture features for pattern recognition applications
including biometric authentication. This can be attributed to the discriminating capability of …
including biometric authentication. This can be attributed to the discriminating capability of …