Hossein Ebrahimpour-Komleh

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The recent area of Wireless Sensor Networks (WSNs) has brought new challenges to developers of network protocols. Energy consumption and network coverage are two important challenges in wireless sensor networks. We investigate intelligent techniques for node positioning to reduce energy consumption with coverage preserved in wireless sensor network. A(More)
Image thresholding considered as a popular method for image segmentation. So far, many approaches have been proposed for image thresholding. Maximum entropy thresholding has been widely applied in the literature. This paper proposes a multilevel image thresholding (MECOAT) using cuckoo optimization algorithm (COA). COA is a new nature- based optimization(More)
Fingerprint classification is an important phase in increasing the speed of a fingerprint verification system and narrow down the search of fingerprint database. Fingerprint verification is still a challenging problem due to the difficulty of poor quality images and the need for faster response. The classification gets even harder when just one core has(More)
In this paper, an effective method for human eye tracking and also decreasing the current challenges and problems in its algorithms, possibly as real time and for unconstrained environments has been proposed. In this method, firstly face has been detected and segmented from the remaining parts to make the searching area in tracking stage, narrower and(More)
In this paper, a new method for image hiding is presented which takes advantages of Particle Swarm Optimization (PSO) and neighborhood similarity features in order to embed pixels of secret image in best positions of host image. Most Significant Bits (MSBs) of secret image pixels are utilized to hide in Least Significant Bits (LSBs) of host image pixels.(More)
Population-based metaheuristic algorithms have become popular in recent years with them getting used in different fields such as business, medicine, and agriculture. The present paper proposes a simple but efficient population-based metaheuristic algorithm called Human Mental Search (HMS). HMS algorithm mimics the exploration strategies of the bid space in(More)
Unknown awareness is very important for many applications such as face recognition. In a typical unknown aware classifier, an “unknown” label is assigned to strange test instances. This study proposes an unknown aware classifier known as UAkNN by extending the well-known kNN classifier. In UAkNN, unknown awareness is achieved by exploiting(More)