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Age Classification using Fuzzy Lattice Neural Network

Age Classification using Fuzzy Lattice Neural Network,10.1109/ISDA.2006.8,D. Kalamani,P. Balasubramanie

Age Classification using Fuzzy Lattice Neural Network   (Citations: 5)
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This paper presents an age classification of a person from the gray scale facial images using Fuzzy Lattice Neural (FLN) model. The FLN model is a combination of fuzzy set theory, lattice theory and Adaptive Resonance Theory Neural model. The proposed system comprises of three sections, namely, location, feature extraction and age classification. From each facial image, three areas are located and three wrinkle features extracted from each location. The extracted nine (3x3) features are applied to FLN model. The FLN model trains the input and classifies the age of a person from the facial image. The proposed system is developed on MATLAB 6p1 and object oriented programming language C++. The success rate of the age classification is about 95% over Kwon and Lobo model and Wen, Chung and Chun model.
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    • ...Age estimation is one typical regression problem, however, due to the difficulty of data collection, preliminary works [3][11][10][19] formulate age estimation as a classification problem...

    Peng Yanget al. Ranking Model for Facial Age Estimation

    • ...Preliminary works [1-4] formulate age estimation as a classification problem and obtain crude estimation by using geometric features to discriminate adults from children and texture features in skin zones to discriminate young adults from senior ones...

    Anand Guptaet al. ADT: Age determination technique

    • ...Preliminary works[1, 2, 3, 4] formulate age estimation as a classification problem and obtain coarse estimation by using geometric features to discriminate adults from children and texture features in skin zones to discriminate young adults from senior ones...
    • ...These metrics have been used in previous work[1, 2, 3, 4] and proved to be effective...

    Jin-li Suoet al. Design sparse features for age estimation using hierarchical face mode...

    • ...This new classifier has been tested and validated in a series of benchmark datasets [12, 15], ambient ozone estimation [17], ocean satellite image pattern recognition [21], age classification [22] as well as air quality assessment [23] problems...

    Bing Liet al. Applying the fuzzy lattice neurocomputing (FLN) classifier model to ge...

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