In document image analysis (DIA) especially in handwritten document recognition, standard databases play signi ̄cant roles for evaluating performances of algorithms and comparing results obtained by di®erent groups of researchers. The ̄eld of DIA regard to Indo-Persian documents is still at its infancy compared to Latin script-based documents; as such standard datasets are not still available in ...

This paper discusses the application of a GH-SOM architecture to the problem of Handwritten Digit Recognition. The results proved to be better than the ones obtained from standard SOM networks.

This paper presents an approach to recognize off-line Bangla numeral. Today there are many OCR used to recognize Bangla numeral. The recognition of handwritten character is still a challenging work in the field of pattern recognition. Numeral recognition in pattern recognition is the process to identify the given character according to the predefined character set. The difficulties of recogniti...

This paper presents an optical character recognition system for the handwritten Urdu Digits. A lot of work has been done in recognition of characters and numerals of various languages like Devanagari, English, Chinese, and Arabic etc. But in case of handwritten Urdu Digits very less work has been reported. Different Daubechies Wavelet transforms are used in this work for feature extraction. Als...

for many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. however, an issue that has rarely been studied is the speed of these methods. considering the computer hardware limitations, it is necessary for these methods to run in high speed. one of the methods to increase the processing speed is to use the computer pa...

The aim of this paper is to propose a novel technique for Arabic/Farsi handwritten digit recognition. We constructed an invariant and efficient feature set by combination of four directional Chain Code Histogram (CCH) and Histogram of Oriented Gradient (HOG). To achieve higher recognition rate, we extracted local features at two levels with grids 2×2, 1×1 and it causes a partial overlapping of ...

The random forest (RF) classifier is an ensemble classifier derived from decision tree idea. However the parallel operations of several classifiers along with use of randomness in sample and feature selection has made the random forest a very strong classifier with accuracy rates comparable to most of currently used classifiers. Although, the use of random forest on handwritten digits has been ...

In this paper, a new method of reconstructing broken handwritten digits is developed. The conditional dilation algorithm is used to bridge small gaps. Spurious segments introduced during extraction of digit "elds are detected and deleted based on the morphological structural analyses of digit "elds. A set of structural points of digits are detected along the outer contours of digits. The presel...

In this paper, we present a methodology for off-line handwritten character/digit recognition. The proposed methodology relies on a new feature extraction technique based on recursive subdivisions of the image as well as on calculation of the centre of masses of each sub-image. Feature extraction is followed by a hierarchical classification scheme based on the level of granularity of the feature...

Reconnaissance de caracteres, reconnaissance de l'6;riture Ii la main, system des classifieufS. A method for mapping a block of handwritten text into a symbolic representation is described. It is assumed that certain loose constraints are placed on the spatial layout and syntax of the text Early recognition of primitives guides the location of syntactic components. The instance of reading handw...