Feature extraction is the key process in any pattern recognition issues. There is no exception in object recognition. In this paper, several feature extraction approaches in the field of object recognition are summed up. Zernike and Hu are two invariant moments and geodesic descriptors are applied directly to binary images and so we can have more information about the general shape of the objec...

Identification of functional motifs in a DNA sequence is fundamentally a statistical pattern recognition problem. This paper introduces a new algorithm for recognition of functional transcription start sites (TSSs) in human genome sequences, in which RBF neural network is adopted, and an improved heuristical method for 5-tuple feature viable construction is proposed and is implemented in two RB...

Pattern analysis constitutes a critical building block in the development of gas sensor array instruments capable of detecting, identifying, and measuring volatile compounds, a technology that has been proposed as an artificial substitute of the human olfactory system. The successful design of a pattern analysis system for machine olfaction requires a careful consideration of the various issues...

Yaobin Qin [email protected] Supervisor: Pro.lilja Department of Electrical and Computer Engineering Abstract Neural networks are family statistical learning algorithms and structures and are used to estimate or approximate functions and pattern classification. The Neural network system is constructed through interconnected neurons and training weights. The paper will present the improvement of ...

The paper compares two types of classifiers in a hybrid opto-electronic pattern recognition system. The first type is rough set based classifier operating is highly discretized feature space. This is the consequence of the granular nature of knowledge representation in the theory of rough sets. The second type is artificial neural network, which processes information taken from continuous featu...

This paper describes a geometry based technique for feature extraction applicable to segmentation-based word recognition systems. The proposed system extracts the geometric features of the character contour. This features are based on the basic line types that forms the character skeleton. The system gives a feature vector as its output. The feature vectors so generated from a training set, wer...

Binapani Sethi MTech (ECE) Konark Institute of Science & Technology, Bhubaneswar, Odisha [email protected] Abstract Image processing is an emerging field and lots of research had been performed for the past few years. Image processing has various techniques which are image segmentation, enhancement, feature extraction, classification, restoration, image generation etc. pattern recognit...

Today there are quite a few widespread misconceptions of exploratory data analysis (EDA). One of these misperceptions is that EDA is said to be opposed to statistical modeling. Actually, the essence of EDA is not about putting aside all modeling and preconceptions; rather, researchers are urged not to start the analysis with a strong preconception only, and thus modeling is still legitimate in ...

Automatic recognition of abnormal patterns in control charts has seen increasing demands nowadays in manufacturing processes. This paper presents a novel hybrid intelligent method (HIM) for recognition of the common types of control chart pattern (CCP). The proposed method includes two main modules: a clustering module and a classifier module. In the clustering module, the input data is first c...

In radio communication systems, signal modulation format recognition is a significant characteristic used in radio signal monitoring and identification. Over the past few decades, modulation formats have become increasingly complex, which has led to the problem of how to accurately and promptly recognize a modulation format. In addressing these challenges, the development of automatic modulatio...