A multi-step approach for partial similarity search in large image data using histogram intersection

A novel efficient technique for extracting valid feature information

“…We used an RGB (Red, Green, Blue) color model and an HSV (Hue, Saturation, Value) color model. The RGB color model is used for many image retrieval systems (Jain & Valilaya, 1996;Kim & Chung, 2003). For global image representation and fast search, RGB color histograms of the image, which are quantized into 16 bins per R, G, and B coordinates, are extracted.…”

Classifying Method of Iris Image Based on Wavelet Packet and Neural Network

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