JOURNAL ARTICLE

Palmprint Recognition Using Gabor-Based Scale Orientation

Muhammad Kusban

Year: 2022 Journal:   International Journal of Electronics and Telecommunications Pages: 641-646   Publisher: Polish Academy of Sciences

Abstract

Various methods are used to obtain a superior palmprint recognition system. After selecting a palmprint image filter, using Gabor orientation scale pairs is an option to support the refinement of the verification process. Many researchers use the [8×5] pair for the value of the Gabor orientation scale in the field of palmprint recognition. However, from the experiments conducted, other Gabor pairs have more impact on system improvement. The problem is to get the most suitable value pairs for palmprint applications, so in this study, a comparison of seven kinds of Gabor pairs is carried out. This Gabor pair being compared applies using original images, PCA dimension reduction, and the Euclidean method. From the research that has been done, the pair of Gabor orientation scale [8 × 7] or image expansion of 56 will have the most significant impact compared to other pairs. Suppose the result of this Gabor pair is [8×7] by using other improvement systems, namely the 3W filter instead of the original image, KPCA to replace the PCA, and the cosine method in the matching method. In that case, it will increase the verification value by 99.611%. The trial value obtained can be an alternative method of choice for improving palmprint recognition.

Keywords:
Orientation (vector space) Scale (ratio) Artificial intelligence Pattern recognition (psychology) Computer science Computer vision Geography Mathematics Cartography Geometry

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FWCI (Field Weighted Citation Impact)
26
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0.21
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Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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