Apparatus and method for pattern recognition

Details Apparatus and method for pattern recognition Apparatus and method for pattern recognition

2009-03-10

2011-12-13

Tabatabai, Abolfazl (Department: 2624)

Image analysis

Pattern recognition

Feature extraction

C725S019000

Reexamination Certificate

active

08077979

ABSTRACT:
A pattern recognition method comprises steps of inputting a pattern of a recognition object performing feature extraction from the input pattern to generate a feature vector, increasing the number of quantization in an order from quantization number 1 or quantization number 2 to calculate a quantization threshold of each of the quantization number, wherein the quantization threshold of quantization number (n+1) using a quantization threshold of quantization number n (n>=1) is calculated and a quantization function having a quantization threshold corresponding to quantization number S (S>n) is generated, quantizing each component of the feature vector of the input pattern using the quantization function to generate an input quantization feature vector having each of the quantized component, storing a dictionary feature vector of the recognition object, or a quantized dictionary feature vector in which each component of the dictionary feature vector of the pattern of a recognition object is quantized; calculating a similarity between the input quantization feature vector and the dictionary feature vector, or a similarity between the input quantization feature vector and the quantized dictionary feature vector; and recognizing the recognition object based on the similarity.

REFERENCES:
patent: 4959870 (1990-09-01), Tachikawa
patent: 7327883 (2008-02-01), Polonowski
Duda et al., “Pattern Classification,” John Wiley & Sons, Inc. (2001), title and copyright pages only.
Cover et al., “Elements of Information Theory,” John Wiley & Sons, Inc. (2006), title and copyright pages, and pp. 118-123.
Duda et al., “Principal Component Analysis (PCA)”, Pattern Classification, Wiley-Interscience, Chapter 3, Section 3.8.1, pp. 115-117.
Lloyd. “Least Squares Quantization in PCM”, IEEE Transactions on Information Theory, vol. IT-28, No. 2, pp. 129-137, (1982).

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