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All Journal International Journal of Engineering, Technology and Natural Sciences (IJETS)
Nagham Tharwat Saeed
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Personal Identification Using Palm Features Recognition Hanaa Mahmood; Yahya Ismail Ibrahim; Nagham Tharwat Saeed
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 4 No 2 (2022): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.68 KB) | DOI: 10.46923/ijets.v4i2.170

Abstract

Personal recognition is meant for finding a way for establishment of connections between the person and his/her biometrical features. Such system is depending various data types such as facial images, voice and limbs. In this paper, palm print recognition is made using deep learning paradigms such as feed forward neural network (FFNN). The palm features are extracted by tracking the principal lines of palm skin. This involves performing of pixel to pixel analysis by comparing pixel value with its four sides neighbors. FFNN model is tuned up using ABC-KNN algorithm then used for classification. The proposed system has yielded good recognition accuracy score of 98.66%.
Co-Authors Hanaa Mahmood Yahya Ismail Ibrahim