Rohollah Akbari

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— Today, many social interactions and services depend on gender. In this paper, we introduce a single image gender classification algorithm using combination of appearance-based and geometric-based features. These include Discrete Cosine Transform (DCT), and Local Binary Pattern (LBP), and geometrical distance feature (GDF). The novel feature, GDF proposed(More)
In the field of security, many Automatic Fingerprint Identification System (AFIS) have been developed. One of the indices for evaluating the security of such system is the quality of the fingerprint image and the efficiency of the enhancement algorithm used. The main aim of the paper is to present a survey on traditional and classical fingerprint image(More)
– Artificial Bee Colony (ABC) is one of the recently introduced optimization methods based on intelligent behavior of honey bees. In this work, we propose an Adaptive Multi-Objective Artificial Bee Colony (A-MOABC) Optimizer which uses Pareto dominance notion and takes advantage of crowding distance and windowing mechanisms. The employed bees use an(More)
So far, several methods have been proposed for gender estimation based on training processes, using several images per person. In this paper, we introduce a new gender estimation method based on single image per person. First, reference images, called general faces, are constructed by averaging male and female images in the dataset respectively. Then,(More)
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