Fingerprints, Iris and DNA Features based Multimodal Systems: A Review

Fingerprints, Iris and DNA Features based Multimodal Systems: A Review

Автор: Prakash Chandra Srivastava, Anupam Agrawal, Kamta Nath Mishra, P. K. Ojha, R. Garg

Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs

Статья в выпуске: 2 Vol. 5, 2013 года.

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Biometric systems are alternates to the traditional identification systems. This paper provides an overview of single feature and multiple features based biometric systems, including the performance of physiological characteristics (such as fingerprint, hand geometry, head recognition, iris, retina, face recognition, DNA recognition, palm prints, heartbeat, finger veins, palates etc) and behavioral characteristics (such as body language, facial expression, signature verification, speech recognition, Gait Signature etc.). The fingerprints, iris image, and DNA features based multimodal systems and their performances are analyzed in terms of security, reliability, accuracy, and long-term stability. The strengths and weaknesses of various multiple features based biometric approaches published so far are analyzed. The directions of future research work for robust personal identification is outlined.

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DNA Sequence, Fingerprint Patterns, Iris Pattern, Multimodal Systems, Palates

Короткий адрес: https://sciup.org/15011822

IDR: 15011822

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