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Erythrocyte shape recognition is very important in the detection of thalassemia and anemia using microscopic images. This study aims to develop a computer aided shape recognizer for the recognition of abnormal shapes viz., tear drop, echinocyte, eliptocyte. Here such recognition is done using Hu's moments and other geometric features followed by gray level thresholding and marker controlled watershed...
Web is one of the most popular internet services in today's world. In today's world, web servers and web based applications are the popular corporate applications and become the targets of the attackers. A Large number of Web applications, especially those deployed for companies to e-business operation involve high reliability, efficiency and confidentiality. Such applications are written in script...
This paper presents the Bangla speech recognition system. Bangla speech recognition system is divided mainly into two major parts. The first part is speech signal processing and the second part is speech pattern recognition technique. The speech processing stage consists of speech starting and end point detection, windowing, filtering, calculating the linear predictive coding (LPC) and cepstral coefficients...
In real-world applications, service robots need to locate and identify objects in a scene. A range sensor provides a robust estimate of depth information, which is useful to accurately locate objects in a scene. On the other hand, color information is an important property for object recognition task. The objective of this paper is to detect and localize multiple objects within an image using both...
Recently clustering methods have gained importance in addressing network security issues, including network intrusion detection. In clustering, unsupervised anomaly detection has great utility within the context of intrusion detection system. Such a system can work without the need for massive sets of pre-labeled training data. Intrusion detection system (IDS) aims to identify attacks with a high...
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