A classification function maps a set of vectors into several classes. machine learning problem is treated as design for partially defined functions. To realize functions MNIST hand written digits, three different architectures are considered: Single-unit realization, 45-unit and ×r realization. The realization consists 45 ternary classifiers, 10 counters, max selector. Test accuracy these compa...

Technology is getting more and involved in our lives, so are algorithms. These algorithms speed up work reduce workload. Especially machine learning improving day by imitating human behaviours. Handwriting recognition systems also stand out on this field. In study, handwriting digit process has been done with having different working methods. Support Vector Machine (SVM), Decision Tree, Random ...

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. Handwriting recognition has been one of the most interesting and challenging research areas in the field of image processing and pattern recognition in...

The paper is devoted to the development of the new online handwritten mathematical expressions recognition system. The paper presents the recognition method to the handwritten symbols using fussy neural network NEFCLASS as a means for classification.

We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate and Character beyond best-reported results on handwriting text recognition tasks. apply novel that simulates strikethrough (HandWritten Blots) handwritten generation method based printed (StackMix), which proved to be very effective in StackMix uses weakly-supervised...

In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...

We established human performance in recognition of handwritten ZIP codes taken from the standard CEDAR database. We expect that the result will serve as a benchmark for machine performance in recognition of handwritten ZIP codes.