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2 Annals of Computer Science and Information Systems

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Interpolation merge as augmentation technique in the problem of ship classification

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Połap D. , Włodarczyk-Sielicka M.

Annals of Computer Science and Information Systems

2020

tom Vol. 21

443--446

Quite a common problem during training the classifier is a small number of samples in the training database, which can significantly affect the obtained results. To increase them, data augmentation can be used, which generates new samples based on existing ones, most often using simple transformations. In this paper, we propose a new approach to generate such samples using image processing techniques and discrete interpolation method. The described technique creates a new image sample using at least two others in the same class. To verify the proposed approach, we performed tests using different architectures of convolution neural networks for the ship classification problem.

Signature analysis system using a convolutional neural network

80%

Winnicka A. , Kęsik K. , Połap D.

Annals of Computer Science and Information Systems

2019

tom Vol. 18

287--290

Identity verification using biometric methods has been used for many years. A special case is a handwritten signature made on a digital device or piece of paper. For the digital analysis and verification of its authenticity, special methods are needed. Unfortunately, this is a rather complicated task that quite often requires complex processing techniques. In this paper, we propose a system of signatures verification consisting of two stages. In the first one, a signature pattern is created. Thanks to this, the first attempt to verify identity takes place. In the case of approval, the second stage is followed by the processing of a graphic sample containing a signature by the convolutional neural network. The proposed technique has been described, tested and discussed due to its practical use.