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240  Articles
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Convolutional Neural Networks (CNNs) perform well compared to other deep learning models in image recognition, especially in handwritten alphabetic numeral datasets. CNN's challenging task is to find an architecture with the right hyperparameters. Usually... see more

Handwritten character recognition is one of the practically important issues in pattern recognition applications. The applications of digit recognition include in postal mail sorting, bank check processing, form data entry, etc. The main problem lies with... see more

Convolutional Neural Networks (CNNs) perform well compared to other deep learning models in image recognition, especially in handwritten alphabetic numeral datasets. CNN's challenging task is to find an architecture with the right hyperparameters. Usually... see more

Handwritten character recognition is one of the practically important issues in pattern recognition applications. The applications of digit recognition include in postal mail sorting, bank check processing, form data entry, etc. The main problem lies with... see more

The recognition of handwritten Bangla digit is providing significant progress on optical character recognition (OCR). It is a very critical task due to the similar pattern and alignment of handwriting digits. With the progress of modern research on optica... see more

A large number of copies of Shakespeare’s Sonnet 2 circulated in handwritten miscellanies from the second quarter of the Seventeenth Century. Eleven of those copies have significant variant readings that have led critics to put forward different hypothese... see more

In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In ... see more

Resumo: Apoiado nos pressupostos teórico-metodológicos de Cambraia (2005), Costa (2006), Flexor (1990), Núñez Contreras (1994) e Riesco Terrero (1999), propõe-se um estudo paleográfico de três cartas manuscritas do ano de 1890, referentes a assuntos comer... see more

Handwritten text recognition is the ability of a system to recognize human handwritten and convert it into digital text. Handwritten text recognition is a form of classification problem, so a classification algorithm such as Nearest Neighbor (NN) is neede... see more

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