Fingerprint Recognition Using Minutia Score Matching

The popular Biometric used to authenticate a person is Fingerprint which is unique and permanent throughout a person’s life. A minutia matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation. In this paper we projected Fingerprint Recognition using Minutia Score Matching method (FRMSM). For Fingerprint thinning, the Block Filter is used, which scans the image at the boundary to preserves the quality of the image and extract the minutiae from the thinned image. The false matching ratio is better compared to the existing algorith

Profil Sidik Jari Populasi Etnis Manggarai Barat Di Labuan Bajo, Nusa Tenggara Timur, Indonesia

The aims of this study was to identify the fingerprint patterns of the West Manggarai ethnic in Labuan Bajo, East Nusa Tenggara, Indonesia. This type of research is descriptive-qualitative with a population of 70 original West Manggarai ethnic people. Data collection was carried out by interviewing and filling out information sheets and respondent's approval, then fingerprint patterns were printed. The fingerprint results were agreed by using a fingerprint classification system. The results is the fingerprint patterns in the West Manggarai ethnic group generally have an ulnar loop dominant pattern of 59.14% (414 fingers) and the second dominant pattern plain whorl with a total of 32.71% (229 fingers). The ulnar loop dominant pattern is found on the middle finger (M) and little finger (L), while the second dominant plain whorl pattern is located on the right thumb (T), left index finger (I), and both ring fingers (R)

Image enhancement and segmentation on simultaneous latent fingerprint detection

A simultaneous latent fingerprint (SLF) image consists of multi-print of individual fingerprints that is lifted from a surface, typically at the crime scenes. Due to the nature and the poor quality of latent fingerprint image, segmentation becomes an important and very challenging task. This thesis presents an algorithm to segment individual fingerprints for SLF image. The algorithm aim to separate the fingerprint region of interest from image background, which identifies the distal phalanx portion of each finger that appears in SLF image. The algorithm utilizes ridge orientation and frequency features based on block-wise pixels. A combination of Gabor Filter and Fourier transform is implemented in the normalization stage. In the pre-processing stage, a modified version of Histogram equalization is proposed known as Alteration Histogram Equalization (AltHE). Sliding windows are applied to create bounding boxes in order to find out the distal phalanges region at the segmentation stage. To verify the capability of the proposed segmentation algorithm, the segmentation results is evaluated in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. The ground truth foreground refers to the manual mark up region of interest area. In order to evaluate the performance of this method, experiments are performed on the Indian Institute of Information Technology Database- Simultaneous Latent Fingerprint (IIITD-SLF). Using the proposed algorithm, the segmented images were supplied as the input image for the matching process via a state art of matcher, VeriFinger SDK. Segmentation of 240 images is performed and compared with manual segmentation methods. The results show that the proposed algorithm achieves a correct segmentation of 77.5% of the SLF images under test

Bio-Bibliometric Analysis of Research Output of Prof. K.R.Venugopal

The present study uses bio-bibliometrics to examine the contributions made by Prof. K.R. Venugopal, the Vice-Chancellor of Bangalore University. He was the Principal of the University Visvesvaraya College of Engineering (UVCE) for 15 years and Chairman of the Department of Electronics and Communications, Computer Science Engineering, and Information Science Engineering at UVCE. He has an illustrious, distinguished, and brilliant academic career with eleven degrees, including two Ph.Ds. He was a post-doctoral research scholar and visiting professor at the University of Southern California, USA. It is essential to study his contributions to understand the magnitudes and contributions in a particular domain. Data has been collected based on his curriculum vitae, available on the website of Bangalore University. Further, the paper highlights Prof. K.R. Venugopal\u27s author productivity, year-wise distribution, collaboration, communications channels, highly cited documents and research papers, and most downloaded books

An Advanced Technique for User Identification Using Partial Fingerprint

User identification is a very interesting and complex task. Invasive biometrics is based on traits uniqueness and immutability over time. In forensic field, fingerprints have always been considered an essential element for personal recognition. The traditional issue is focused on full fingerprint images matching. In this paper an advanced technique for personal recognition based on partial fingerprint is proposed. This system is based on fingerprint local analysis and micro-features, endpoints and bifurcations, extraction. The proposed approach starts from minutiae extraction from a partial fingerprint image and ends with the final matching score between fingerprint pairs. The computation of likelihood ratios in fingerprint identification is computed by trying every possible overlapping of the partial image with complete image. The first experimental results conducted on the PolyU (Hong Kong Polytechnic University) free database show an encouraging performance in terms of identification accuracy

Perancangan Game Edukasi Rambu-Rambu Lalu Lintas Menggunakan Model Prototype

Educational games are games specifically designed to teach users a particular learning, developing concepts and understanding and guiding them in training their abilities, and motivating them to play them. Road Traffic Signs are part of street equipment in the form of symbols, letters, numbers, sentences, and / or combinations that serve as warnings, prohibitions, orders or directions for road user. Method of developing this educational game researcheres use prototype method. Prototype is the implementation of a piece of software product that typically has limited functionality, low reliability, simple appearance, and less firmness. While prototype production can be used as a stand-alone process model, prototyping is more commonly used as a technique that can be implemented within the context of any software process model. The superiority of the prototype is the existence of good communication between developers and customers, Developers can work better in determining customer needs, Customers play an active role in system development, more time saving in system development, Application becomes easier because the user knows what to expect. Based on the research that has been done, the result that with this educational game aims as a science and learning traffic signs so that all ages can better know the signs and intas and educational facilities or information delivery to learn to recognize traffic signs

Implementation of Minutiae Based Fingerprint Identification System using Crossing Number Concept

Abstract: Biometric system is essentially a pattern recognition system which recognizes a person by determining the authenticity of a specific physiological (e.g., fingerprints, face, retina, iris) or behavioral (e.g., gait, signature

A Novel Approach to Improve the Security of Automated Teller Machines (ATMs) in Namibia

Abstract - The purpose of the study was to identify and review the existing security features that influences the use of ATMs in Namibian perspective. Worldwide, fraud cases involving ATM card cloning have been increasing over the past decade. If this is not solved, it is a major concern as many customers will continue to lose their hard earned money to criminals. Various forms of fraud are perpetuated at ATMs when using PIN number based user authentication which are; card cloning, PIN theft and PIN cracking. In this study, qualitative research approach was used to collect data using a self-prepared interview schedule. In-depth interviews were conducted with thirteen (13) officials from the police department, various commercial banks and a university in Namibia. Results from the qualitative research study indicated that the current security features of ATMs in Namibia are; PIN numbers, placing of ATMs at secure locations, CCTV cameras and daily limit withdrawals on ATM machines. However, these security features are not enough to protect against ATM frauds. There is need to make use of biometric fingerprints together with PIN numbers to enhance security features of ATMs. Keywords: Automated Teller Machine (ATM), Biometrics, Personal Identification Number (PIN), Fingerprint