in this paper, we used a shape matching algorithm to recognize farsi digits. for each sampled point on the contour of a shape, we obtain a descriptor showing the distribution of the other points of the contour, with respect to this point. based on these descriptors, we find the corresponding points of the two contours and take the sum of their distances as a dissimilarity measure between two sh...

This paper will emphasize the necessity of having alternative man-machine interfaces to the already established keyboard and mouse, speciically for people residing in developing countries. An on-line system is presented for recognizing handwritten Farsi (Persian) and Arabic digits. This recognition scheme is based on statistical techniques which will be brieey explained. Then, the grounds will ...

Classifier fusion may generate more accurate classification than each of the basic classifiers. Fusion is often based on fixed combination rules like the product, average etc. This paper presents decision templates as classifier fusion method for the recognition of the handwritten English and Farsi numerals (1-9). The process involves extracting a feature vector on well-known image databases. T...

A very large dataset of handwritten Farsi digits is introduced. Binary images of 102,352 digits were extracted from about 12,000 registration forms of two types, filled by B.Sc. and senior high school students. These forms were scanned at 200 dpi with a high speed scanner. A method for finding variety of handwritten digits in a typical dataset is proposed. Based on this method, training and tes...

In this paper, the problems of Farsi word processing software packages that are based on Word for Windows are enumerated. Being a non-roman script written from right to left and taken as Arabic, are two factors affecting the malfunctioning of Word for Windows. The problems such as: different keyboard layouts in different versions of Word; many problems encountered in dealing with digits; the pr...

In this paper we proposed a new method for isolated handwritten Farsi/Arabic characters and numerals recognition using fractal codes. Fractal codes represent affine transformations which when iteratively applied to the range-domain pairs in an arbitrary initial image, the result is close to the given image. Each fractal code consists of six parameters such as corresponding domain coordinates fo...

The recognition of handwritten digits is an application which has been used as a benchmark for comparing shape recognition methods. We train COSFIRE filters to be selective for different parts of handwritten digits. In analogy with the neurophysiological concept of population coding we use the responses of multiple COSFIRE filters as a shape descriptor of a handwritten digit. We demonstrate the...

A method for recognition of Persian handwritten digits based on characterization loci and mixture of experts is proposed. This method utilizes the characterization loci, as the main feature. In the classification stage of our proposed method the mixture of experts are applied. This recognition method is applied to Farsi hand-written digits in the HODA database. The experimental results support ...

This paper presents a new method for isolated Farsi/Arabic characters and digits recognition. Fractal codes which are determined by a fractal encoding method are used as feature in this system. Fractal image compression is a relatively recent technique based on the representation of an image by a contractive transform for which the fixed point is close to the original image. Each fractal code c...