DocumentCode
3023170
Title
Cascade classifier: design and application to digit recognition
Author
Duong, Jean ; Emptoz, Hubert
Author_Institution
Lab. d´´InfoRmatique en Images et Systemes d´´information, Inst. Nat. des Sci. Appliquees de Lyon, Villeurbanne, France
fYear
2005
fDate
29 Aug.-1 Sept. 2005
Firstpage
1065
Abstract
The focus of this paper is on machine learning. More specifically, a classifier combination is proposed. We name it "cascade classifier". Conceptually, this system is based on confusion analysis and local retraining mechanism. We describe its architecture. Experiments with handwritten digit images of the MNIST ("modified NIST") database are presented.
Keywords
handwritten character recognition; learning (artificial intelligence); pattern classification; visual databases; cascade classifier; classifier combination; confusion analysis; digit recognition; handwritten digit image; local retraining mechanism; machine learning; modified NIST database; Computer applications; Computer architecture; Covariance matrix; Focusing; Fuzzy systems; Image databases; Machine learning; Neural networks; Pattern recognition; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN
1520-5263
Print_ISBN
0-7695-2420-6
Type
conf
DOI
10.1109/ICDAR.2005.69
Filename
1575707
Link To Document