Abstract Handwritten text recognition systems interpret the scanned script images as composed of letters. In this paper, efficient offline methods using fuzzy degrees, well interval degrees type-2, are proposed to recognize letters beforehand decomposed into strokes. For such strokes, first stage used create a set hypotheses whether group strokes matches letter or digit patterns. Subsequently, ...

Nowadays, the scope of machine learning and deep studies is increasing day by day. Handwriting recognition one examples in daily life for this field work. Data storage digital media a method that almost everyone using nowadays. At same time, it has become necessity people to store their notes even take directly environment. As solution need, applications have been developed can recognize number...

Several approaches to recognize the handwritten characters and numerals such as online cursive handwriting and numerals recognition have been proposed. Most of them are based on neural network approaches. In this paper, a technique for continuous recognition of handwritten Devanagari characters is proposed. This approach employs a method based on Spatio-Temporal Artificial Neural Network (STANN...

This paper presents the study reports of major process involved in a handwritten character recognition system. We focus on the various feature extraction techniques as the recognition mainly depends on the features extraction. After studying the various features we have modified an existing feature extraction technique by introducing two more feature vectors. After the introduction of these two...

In this paper, we propose an approach based on HMM and linguistics for the Vietnamese recognition problem, including handwritten and speech recognition. The main contribution is that our method could be used to model all Vietnamese isolated words by a small number of HMMs. The method is not only used for handwritten recognition but also for speech recognition. Furthermore, it could be integrate...

Optical Character Recognition (OCR) is a process to recognize the handwritten or printed scanned text with the help of a computer. Segmentation is very important stage of any text recognition system. The problems in segmentation can lead to decrease in segmentation rate and hence recognition rate. A good segmentation technique can improve the recognition rate. This paper deals with the hazards ...