arXiv Open Access 2017

Combinational neural network using Gabor filters for the classification of handwritten digits

N. Joshi

Lihat Sumber

Abstrak

A classification algorithm that combines the components of k-nearest neighbours and multilayer neural networks has been designed and tested. With this method the computational time required for training the dataset has been reduced substancially. Gabor filters were used for the feature extraction to ensure a better performance. This algorithm is tested with MNIST dataset and it will be integrated as a module in the object recognition software which is currently under development.

Topik & Kata Kunci

cs.CV

Penulis (1)

N. Joshi

Format Sitasi

APA MLA BibTeX

Joshi, N. (2017). Combinational neural network using Gabor filters for the classification of handwritten digits. https://arxiv.org/abs/1709.05867

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓