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...

An iris based biometric recognition system provides identification of an individual based on a unique feature or characteristic possessed by that individual. Iris recognition is consider as the most reliable and accurate biometric identification system. In this paper we explore the performance of the iris based recognition system. We take iris image of ten different people and after segmentatio...

Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. The recognition of cursive scripts like Persian and Arabic languages is a difficult task as their segmentation suffers from serious problems in different languages. Segmentation is a process of dividing cursive words into smaller parts in order to decrease complexity and increase accuracy of re...

An off-line handwritten alphabetical character recognition system using multilayer feed forward neural network is described in the paper. A new method, called, diagonal based feature extraction is introduced for extracting the features of the handwritten alphabets. Fifty data sets, each containing 26 alphabets written by various people, are used for training the neural network and 570 different...

a Departamento de Inform atica, Escola Superior de Enxener ıa Inform atica, Universidad de Vigo, Campus Universitario As Lagoas, E-32004 Ourense, Spain b Departamento de Inform atica, Escuela Polit ecnica, Universidad de Extremadura, Avda de la Universidad, s/n, E-10004 C aceres, Spain c Departamento de Zootecnia, Facultad de Veterinaria, Universidad de Extremadura, Avda de la Universidad, s/n,...

Speech recognition in Persian (Farsi) has recently been addressed by a few native speaking researchers and some approaches to isolated word and phoneme recognition have been reported. A main bottleneck in this research field is the lack of a recognition-specific speech corpus. In this work, a phonetically balanced speech database of Persian has been modified and used in continuous speech recogn...

We present a very straightforward approach to the problem of handwriting synthesis. A writer provides once a set of handwritten samples of the most frequent groups of letters found in natural text (glyphs). Our program can then translate typed notes into natural looking handwritten notes from that writer. The method consists in assembling glyphs in a way that minimizes the total number of glyph...

Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simpler as there are only 26 letters and each letter is quite distinct from others compared to recognition of Indian language characters. Indian language characters have a base character along with vowels attached, forming s...

This paper presents an effective method for writer recognition in handwritten documents. We have introduced a set of features that are extracted from two different representations of the contours of handwritten images. These features mainly capture the orientation and curvature information at different levels of observation, first from the chain code sequence of the contours and then from a set...