Effective Approach of Palmprint Recognition using PCA, DWT and Neural Network

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 10

Published

May 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Mamta Dewangan Lalit Kumar P. Bhaiya

Palmprint is an important counterpart and
reliable biometric that can be used for identity
verification because it is stable and unique for every
individual. The procedure of implementation is
divided into two phases, training phase and testing
phase. In training phase there are three sub processes;
pre-processing, feature extraction and feature
matching. Pre-processing is done with the help of
image resizing and RGB to Gray conversion. For
feature extraction, we have used Gabor Filter and
Discrete Wavelet Transform (DWT).

Mamta Dewangan, Lalit Kumar P. Bhaiya (2016). Effective Approach of Palmprint Recognition using PCA, DWT and Neural Network. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 10. ISSN: 2319-4863.

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