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Today, a typical face recognition system, especially after surgeries are having problems such as lack of identification of the tissue changes are attributed to the original image. In this paper, a method is proposed to solve this problem as GLRB1. In the proposed method, the image is classification by RBF2 neural network after normalized, then extracted the face texture feature with Gabor filters...
Face Detection has an important role in many applications such as face recognition, human-computer interactions, and video supervisions. Here there is proposed a hybrid face detection algorithm based on a data mining approach. In training phase, first with using of preprocessing acts on every training image we convert them into edge and non-edge images. Then with the usage of MAFIA algorithm, maximal...
License Plate Recognition system (LPR) plays a significant role in many application such as access control, traffic control, and the detection stolen vehicles. A LPR system can be divided into the detection and recognition stages. For license plate detection, a proposal method with to phase is used. At the first phase regions of around plate is clip out by help of vertical and horizontal projections...
Effective scheduling is of great importance in parallel programming environments. The problem of tasks graph scheduling in a multi processor system can be stated as allocating tasks to processor of each computer. Scheduling problem is known as NP-Hard. Thereof, usage of evolutionary processing and especially genetic algorithms are effective for solving scheduling problems. The objective of this problem...
The Rumor routing is a routing algorithm based on propagating software agents with random motion in wireless sensor networks. Rumor routing schema is based on the encounter of query agents and event propagator agents in sensor field. In this paper, we propose a new approach of rumor routing families that optimizes one of the newly introduced generations of rumor algorithm called Directional Rumor...
This paper presents a novel holistic handwritten Farsi /Arabic word recognition scheme in situation where we face with word rotation and scale change. Image words features are extracted by exploiting rotation and scale invariance characteristics of M-Band packet wavelet transform performed on polar transform version of images of handwritten Farsi/Arabic words. The extracted features construct a feature...
Characters connectivity is a problem in automated printed Farsi/Arabic script recognition. This paper introduces a novel scheme based on wavelet transform to solve segmentation of printed Farsi/Arabic words into characters. Our novel algorithm employs a new wavelet transform by which the extracted wavelet coefficients are exploited, in detecting, underlying horizontal edges and base line. Projection...
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