Abstract: In the case of handwritten text recognition, the image processing, line, word, and letter segmentation algorithms, their processing structures are given, CNN neural network operation mode description is described. Modern hardware has been described as a more improved view of a high-performance product that achieves high results through neural networks. The results are based on the images of the data set available in the neural networks and the data set formed for the Uzbek language. Through this neural network structure, 93% kb recognition efficiency was achieved
This paper describes a NEURAL NETWORK based technique for feature extraction applicable to segmentat...
This study aims to analyze the effects of noise, image filtering, and edge detection techniques in t...
This paper deals with the recognition of handwritten text. It is mainly discussing improving nowaday...
Abstract: In the case of handwritten text recognition, the image processing, line, word, and letter...
Activation functions are important in each neural network. This article highlights the advantages an...
This article presents the steps of binary morphological processing of handwritten texts, the steps o...
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
The paper shows the use of artificial neural networks for the task of scene text recognition. A comp...
Thesis deals with handwritten block letters and digits recognition using artificial neural networks....
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
ABSTRACT Handwritten Pattern recognition has been one of the most captivating and interesting areas ...
How does a computer recognize individual letters and numbers? One method to approach this problem is...
Investigation on the feasibility of various character features extracted for handwritten character r...
The article is devoted to the problem of comparing the effectiveness of feedforward (FF) and convolu...
This dissertation introduces a new system for handwritten text recognition based on an improved neur...
This paper describes a NEURAL NETWORK based technique for feature extraction applicable to segmentat...
This study aims to analyze the effects of noise, image filtering, and edge detection techniques in t...
This paper deals with the recognition of handwritten text. It is mainly discussing improving nowaday...
Abstract: In the case of handwritten text recognition, the image processing, line, word, and letter...
Activation functions are important in each neural network. This article highlights the advantages an...
This article presents the steps of binary morphological processing of handwritten texts, the steps o...
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
The paper shows the use of artificial neural networks for the task of scene text recognition. A comp...
Thesis deals with handwritten block letters and digits recognition using artificial neural networks....
Neural network is a branch of Artificial Intelligence that imitates the biological processing functi...
ABSTRACT Handwritten Pattern recognition has been one of the most captivating and interesting areas ...
How does a computer recognize individual letters and numbers? One method to approach this problem is...
Investigation on the feasibility of various character features extracted for handwritten character r...
The article is devoted to the problem of comparing the effectiveness of feedforward (FF) and convolu...
This dissertation introduces a new system for handwritten text recognition based on an improved neur...
This paper describes a NEURAL NETWORK based technique for feature extraction applicable to segmentat...
This study aims to analyze the effects of noise, image filtering, and edge detection techniques in t...
This paper deals with the recognition of handwritten text. It is mainly discussing improving nowaday...