Research on Applied Technology of Palmprint Recognition Based on Fisher Linear Discriminant and Improved PCA Algorithm

Abstract:

The information applied technology of palmprint recognition is a biometric technology, it’s based on the effective information on the palm (such as: palmprint) to identifies people. The palmprint is unique and characteristic, these are the identification of critical conditions. The feature extraction of palmprint image is a prerequisite for recognition, feature extraction algorithm depends on the quality of the recognition rate and efficiency. This paper presents a method of palmprint recognition algorithm based on Fisher linear discriminant analysis and improved PCA algorithm. The experimental results show that, the recognition rate is improved.

• Periodical: Advanced Materials Research (Volume 886)
• Pages: 515-518
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.886.515
• Online since: January 2014
• Authors: Jing Wen Li*
• Keywords: Fisher Linear Discriminant, Palmprint Recognition, PCA Algorithm

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