Biometrics-based Personal Identification Research Articles

Raspberry Pi Based Palm Print Recognition for Person Authentication

Biometrics-based personal identification is regarded as an effective method for automatically recognizing a person’s identity with high confidence. Biometrics is progressively being employed for secure authentication of people and creating its presence felt in our lives. It uses an individual's physical or behavioral traits to spot them. In this paper, we tend to propose the design of a biometric system used for an unconstrained and supervised palmprint recognition system based on SIFT features. The real-time implementation of our planned work has been carried out in the Raspberry Pi 4 Model B. Experimental results validate the potency of the planned technique in the accurate detection of palm prints. This proposed project will help the corporates to ensure security in the technological world.

Iris recognition using genetic algorithms and asymmetrical SVMs

With the increasing demand for enhanced security, iris biometrics-based personal identification has become an interesting research topic in the field of pattern recognition. While most state-of-the...

Automated biometrics-based personal identification of the Hunter–Schreger bands of dental enamel

The use of automated biometrics-based personal identification systems is a ubiquitous procedure in present times. Biometrics has certain limitations, such as in cases when bodies are decomposed, burned, or only small fragments of calcified tissues remain. Dental enamel is the most mineralized tissue of organisms and resists post-mortem degradation. It is characterized by layers of prisms of regularly alternating directions, known as Hunter-Schreger bands (HSB). In this article, we show that the pattern variation of the HSB, referred here as toothprint, can be used as a biometric-based parameter for personal identification in automated systems.

Online palmprint identification

Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.

Automated biometrics-based personal identification.

Conventionally, we identify ourselves and gain access by physically carrying passports, keys, badges, tokens, and access cards or by remembering passwords, secret codes, and personal identification numbers (PINs). Unfortunately, passports, keys, badges, tokens, and access cards can be lost, duplicated, stolen, or forgotten; and passwords, secret codes, and PINs can easily be forgotten, compromised, shared, or observed. Such loopholes or deficiencies of conventional personal identification techniques have caused major problems to all concerned. For example, hackers often disrupt computer networks; credit card fraud is estimated at $2 billion per year worldwide; and in the USA, welfare fraud (by double dippers) is believed to be in excess of $4 billion a year. Robust, reliable, and foolproof personal identification solutions must be sought to address the deficiencies of conventional techniques.