Optical Characters Recognition (OCR) is one of the active subjects of research in the field of pattern recognition. The two main stages in the OCR system are feature extraction and classification. In this paper, a new hybrid feature extraction technique and a neural network classifier are proposed for off-line handwritten English character recognition system. The hybrid features are obtained by...

Handwriting recognition is such a complex classification problem that it is quite usual now to make co-operate several classification methods at the preprocessing stage or at the classification stage. In this paper, we present an original two stages recognizer. The first stage is a model-based classifier that stores an exhaustive set of character models. The second stage is a discriminative cla...

In this research, we have proposed an efficient technique to classify beat from ECG database. The proposed technique is composed into three stages, 1) pre processing 2) Hybrid feature extraction 3) hybrid feature classifier. The beat signals are initially taken from the physiobank ATM and in the pre-processing stage the beat signals are made suitable for feature extraction. For efficient featur...

Currently, some coffee production centers still perform classification manually, which requires a very long time, lot of labor, and expensive operational costs. Therefore, the purpose this research was to design test performance bean classifier that can accelerate process classifying beans. The used consisted three main parts, namely frame, driving force, sieves. parameters included work capaci...

The necessity of on-time cancer detection is extremely high in the recent days as it becomes a threat to human life. skin considered one dangerous diseases among other types since causes severe health impacts on beings and hence highly mandatory detect early stage for providing adequate treatment. Therefore, an effective image processing approach employed this present study accurate cancer. Ini...