ScholarLens Back to search
2017•International Journal of Advanced Research in Computer ScienceOpen access

PCA Based English Handwritten Digit Recognition

Yogish Naik G. R, Amani Ali Ahmed Ali

Open full text 0 citations

Abstract

In this paper, a digit Recognition system is designed using the Principal Component Analysis (PCA), a method of extraction of characteristics based on the digit forms, combined with k-Nearest Neighbor to recognize the numeral digits, this approach is tested on the MNIST handwritten isolated digit database. This proposed method shows an excellent performance with higher accuracy, Achieved approximately 86.5%.

About this research paper

What this paper is about

In this paper, a digit Recognition system is designed using the Principal Component Analysis (PCA), a method of extraction of characteristics based on the digit forms, combined with k-Nearest Neighbor to recognize the numeral digits, this approach is tested on the MNIST handwritten isolated digit database. This proposed method shows an excellent performance with higher accuracy, Achieved approximately 86.5%.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, a digit Recognition system is designed using the Principal Component Analysis (PCA), a method of extraction of characteristics based on the digit forms, combined with k-Nearest Neighbor to recognize the numeral digits, this approach is tested on the MNIST handwritten isolated digit database. This proposed method shows an excellent performance with higher accuracy, Achieved approximately 86.5%.

Key concepts: Numeral system, Numerical digit, MNIST database, Computer science, Digit recognition, Principal component analysis, Speech recognition, Pattern recognition (psychology)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
PCA Based English Handwritten Digit Recognition — Research Paper | ScholarLens