Enhanced fisher discriminant criterion for image recognition

Hyperspectral dimension reduction using global and local information based linear discriminant analysis

“…According to experimental results, the performances of CGLDA are the best. It can be noted that EFDC also uses local information (Gao, et al, 2012) and it is also a recent used work in hyperspectral dimension reduction . On the other hand, CGLDA gives significantly better performance than EFDC.…”

“…Some efforts have been made in order to integrate global and local information of data into LDA. Gao et al (Gao, et al, 2012) introduce enhanced Fisher discriminant criterion (EFDC) in which a new scatter matrix that models intraclass variability of patterns is added to LDA. Zhang et al (Zhang, et al, 2014) propose a complete global-local LDA (CGLDA) for dimension reduction.…”

A Study of Digit Recognition Algorithm for Meter based on Rough Set and Neural Network

“…Image preprocessing is used for enhancing images and eliminating the noise of images and binarization processing, using the filter technique to eliminate the noise which is inevitably introduced during the image acquisition process. Extracting information by binarization, the target and background will be separated to improve image quality for the subsequent recognition [17,18]. These 60 gas meter dial images are chose in different light, different angle and different definition, and then respectively adding 0.1, 0.2, 0.3 noise to produce a total of 240 initial samples.…”

Pedestrian Detection Based on Multi-Block Local Binary Pattern and Biologically Inspired Feature

“…7, No. 1; the same class into the Fisher criterion to avoid the over-fitting problem in the reduced space (Gao, Liu, Zhang, Hou, & Yang, 2012). The discriminant feature extraction criterion can be rewritten as:…”