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This article presents in two modules a new method for segmenting connected handwritten Persian digits using the characteristics of the foreground and utilizing the background skeleton. The first module excavates all the valleys and hills, if there are any, from the upper pixels and lower pixels of the thinned image respectively. Then feature point excavate. For better segmentation the digits, a separability...
In this paper, we propose a new approach for detecting and recognizing numerical strings in Farsi/Arabic handwritten or machine-printed document images. We assign a label to each of the connected components as they belong to a numerical string or not. First, in order to differentiate between digit and non-digit connected components, some simple features are extracted from all connected components...
Standard databases play very important roles in pattern recognition tasks. To compare the performances of different algorithms, they must be tested on a same dataset. In Farsi, there is not a database of handwritten texts to evaluate different algorithms. In this paper, an unconstraint Farsi handwritten text database is introduced. 250 participants in different ages and education levels filled 1000...
In this paper, we propose a method for online Farsi handwritten words recognition. At first, words are broken to their sub-words. Each sub-word is made of some strokes. We assign a tag to each sub-word based on the positions and shapes of its sub-strokes. After that, we classify sub-words according to their tags. Some online features are extracted from the main-stroke after the preprocessing stage...
In this paper, we propose a method for online Farsi handwritten words recognition. At first, words are broken to their sub-words. Each sub-word is made of some strokes. The sign of the sub-word is found from the positions and shapes of its sub-strokes. After that, we classify sub-words according to their signs. Some online features are extracted from the main-stroke after the preprocessing stage....
Fractal theory has been used for computer graphics, image compression and different fields of pattern recognition. In this paper we simplified a general purpose two-dimensional fractal coder used for image compression. Since in the case of on-line signature recognition, we loose gray levels, contrast and luminosity information, we do not employ these parameters in the fractal coder. Instead, we focused...
This paper presents an off-line signature verification system. The verification is based on signature shape descriptors such as the skeleton, upper and lower envelopes, and the high pressure region of the signatures. Multiple multilayer perceptron neural network modules cooperating in taking a verification decision via a fuzzy integral voter are used. This method is capable of verifying simple and...
Moments and functions of moments have been utilized as pattern features in various applications to achieve invariant recognition of two-dimensional image patterns. This paper introduces an experimental evaluation of the effectiveness of utilizing orthogonal moments such as Zernike moments, pseudo Zernike moments, and Legendre moments in recognition of the handwritten Farsi numerals. We used evolution...
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