Nowadays, the accurate recognition of machine printed characters is considered largely a solved problem. A lot of commercial products are focused towards that direction, achieving high recognition rates. However, handwritten character recognition is comparatively difficult. So, the recognition of handwritten documents is still a subject of active research. In this thesis we studied the processi...

This paper describes a new feature set for use in the recognition of on-line handwritten Devanagari script based on Fuzzy Directional Features. Experiments are conducted for the automatic recognition of isolated handwritten character primitives (sub-character units). Initially we describe the proposed feature set, called the Fuzzy Directional Features (FDF) and then show how these features can ...

Character recognition is the most important research area in today’s world. Many researchers have focused on recognizing handwritten digits, numerals and characters in so many languages. To the best of our knowledge, little work has been done in the area of Tamil handwritten character recognition but they did not achieve better accuracy. Feature extraction is the important phase of character re...

Recognition of Devanagari scripts is challenging problems. In Optical Character Recognition [OCR], a character or symbol to be recognized can be machine printed or handwritten characters/numerals. There are several approaches that deal with problem of recognition of numerals/character. In this paper we have compared SVM and KNN on handwritten as well as on printed character and numerical databa...

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts es...

Odia is one of the oldest and popular languages of India, spoken by more than 44 million people, especially in Odisha, India. Some characters in Odia are made up of more than one connected symbols. Compound characters are written by associating modifiers with consonants, resulting in a huge number of possible combinations, running into hundreds of thousands. Therefore, systems developed for rec...

In this paper, we present a database and methods for off-line isolated Greek handwritten character recognition. The Computational Intelligence Laboratory (CIL) Database consists of 35,000 isolated and labelled Greek handwritten characters. This database was tested with an existing structural approach for Greek handwritten characters as well as with a novel approach based on a hybrid feature ext...

Touchpad based devices like phones and tablets are now ubiquitous and growing even more in popularity. Due to their form factors, however, otherwise standard means of input like keyboards are less effective in these devices. Infact using scribbling to recognize handwriting is a viable alternative. In this project we investigated a method of recognizing handwritten characters to allow automatic ...

The handwritten character recognition system using fuzzy wavelet is modelled using Very High Speed Hardware Description Language (VHDL). The fuzzy wavelet handwritten recognition is a system based on human perception. The time-frequency localization capabilities of wavelet transform in feature extraction enhances the accuracy of recognition at pixel level. The characteristic features of handwri...