Author(s)

Xingxing Li

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