Cat Face Detection Based on Haar Cascade Classifier
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DOI: 10.23977/iset.2019.003
Corresponding Author
Xingxing Li
ABSTRACT
Cat face recognition technology is widely used in industry at present, and the most important and initial step is the need for cat face detection. This paper uses Haar feature to extract features of cat face, calculates Haar rectangular eigenvalue-integral graph quickly, and screens effective rectangular features for classification and recognition. Using AdaBoost classifier to transform weak classifier into strong classifier can effectively detect cat face.
KEYWORDS
Cat Face Detection, Haar Feature, Cascade Classifier