scholarly journals A Survey on Methods of Image Processing and Recognition for Personal Identification

2018 ◽  
Author(s):  
Ryszard S. Choras
Keyword(s):  
Image Processing ◽  
Personal Identification

scholarly journals An Accurate Facial Component Detection Using Gabor Filter

2017 ◽  
Vol 6 (3) ◽  
pp. 287-294
Author(s):  
K. Sudhakar ◽  
P. Nithyanandam
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Face Detection ◽  
Gabor Filter ◽  
Personal Identification ◽  
Main Role ◽  
Accurate Detection ◽  
The Face ◽  
Critical Task ◽  
Facial Component

Face detection is a critical task to be resolved in a variety of applications. Since faces include various expressions it becomes a difficult task to detect the exact output. Face detection not only play a main role in personal identification but also in various fields which includes but not limited to image processing, pattern recognition, graphics and other application areas. The proposed system performs the face detection and facial components using Gabor filter. The results show accurate detection of facial components

scholarly journals The overlapped latent fingerprint separation by using Fourier Optics (FO)

2021 ◽  
Vol 2145 (1) ◽  
pp. 012055
Author(s):  
Nichchar Sommit ◽  
Ratchapak Chitaree
Keyword(s):  
Image Processing ◽  
Crime Scene ◽  
Processing Technique ◽  
Spatial Domain ◽  
Personal Identification ◽  
Image Processing Technique ◽  
Fourier Optics ◽  
Periodic Pattern ◽  
Latent Fingerprints ◽  
Overlapped Fingerprints

Abstract Latent fingerprints are one of the most important pieces of evidence left at a crime scene and can be linked to all individuals involved. Each person’s fingerprints are unique and permanent, becoming an ideal biometric trait for the personal identification by extracting and comparing characteristic points (minutiae) of ridges. The overlapping fingerprint cases are frequently encountered in a crime scene and causing a difficult interpretation for an investigator. The problem has been challenging for forensic scientists over a decade. The method proposed in this study for the separation of overlapped latent fingerprints is based on the well-known spatial filtering method in the Fourier Optics (FO). Instead of tackling the problem by experiment, an alternative and simple means of image processing was proposed and conducted. The working principles start form converting spatial domain patterns (an image of overlapped fingerprints) to spatial frequency domain patterns or power spectrum, filtering out unwanted components (unwanted fingerprint) by appropriate spatial filters, and finally converting the modified pattern back to spatial domain patterns (an image of suspect fingerprint). As a result, the final image is improved from its original state. The periodic pattern of ridges is the key that allows FO to be used in the separation of the overlapped fingerprints. In this work, the procedures described are simply performed by an open source software: ImageJ. The FO-based image processing technique satisfactorily demonstrated its ability to recover an individual fingerprint from overlapping fingerprints.

scholarly journals Matching of Iris Pattern using Image Processing

2019 ◽  
Vol 8 (2S11) ◽  
pp. 21-23
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Mobile Phone ◽  
Personal Identification ◽  
The Body ◽  
Biometric Identification ◽  
Non Invasive ◽  
Digital Era ◽  
Invasive Method ◽  
Iris Pattern Recognition

Personal identification is very vital in this digital era for simpler mobile phone unlocking to criminal identification in the scene of crime. There are various methods of personal identification ranging from non-invasive methods of presence of moles in the visible parts of the body to the invasive DNA karyotyping. Other in the spectrum being fingerprinting, lip print, foot print, tongue print, palate print etc. As age advances there might be slight variations in finger print, ear biometric etc, where as in iris the amount of pigmentation might vary but the pattern remains almost same from birth to death, unless otherwise there is any injury to the iris which is very remote. Iris pattern recognition is a non-invasive method of biometric identification. Iris architecture is not only complex but also unique to an individual. In this article a methodology is been proposed to match iris pattern.

Automatic Schizophrenia Prediction Using Palm-Print Line Features

2014 ◽  
Vol 519-520 ◽  
pp. 568-571
Author(s):  
Fang Li ◽  
Ying He ◽  
Min Qi Zhang
Keyword(s):  
Image Processing ◽  
Risk Group ◽  
Processing System ◽  
Disease Diagnosis ◽  
High Risk Group ◽  
Personal Identification ◽  
Analysis Techniques ◽  
Wide Range ◽  
Palm Print ◽  
The Relationship

Palm-print has a wide range of applications in personal identification, disease diagnosis, and athletes selection. This paper focuses on automatic schizophrenia prediction based on the anomalies in the handprints of patients with schizophrenia. The application is an image processing system, which works on the basis of the relationship between palm print pattern and schizophrenia. The images of human palm form input to the system. Then, system applies digital image processing and analysis techniques on input images to identify certain features in the image. Based on the certain features captured, it is possible to identify a high-risk group for schizophrenia. Present scientific techniques have no way of stopping critical illness from occurring and the increase in death rate will continue. Early diagnosis and early treatment are essential on in dealing with those illnesses. If more relationship between palm print pattern and disease can be ascertained, the proposed system can be very useful to human being to get indication of disease in advance.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

The 'well-known' theory of electron image formation

1983 ◽  
Vol 41 ◽  
pp. 288-289
Author(s):  
M.A. O'Keefe ◽  
W.O. Saxton
Keyword(s):  
Image Processing ◽  
Image Formation ◽  
Source Profiles ◽  
Electron Image

A recent paper by Kirkland on nonlinear electron image processing, referring to a relatively new textbook, highlights the persistence in the literature of calculations based on incomplete and/or incorrect models of electron imageing, notwithstanding the various papers which have recently pointed out the correct forms of the appropriate equations. Since at least part of the problem can be traced to underlying assumptions about the illumination coherence conditions, we attempt to clarify both the assumptions and the corresponding equations in this paper, illustrating the effects of an incorrect theory by means of images calculated in different ways.The first point to be made clear concerning the illumination coherence conditions is that (except for very thin specimens) it is insufficient simply to know the source profiles present, i.e. the ranges of different directions and energies (focus levels) present in the source; we must also know in general whether the various illumination components are coherent or incoherent with respect to one another.

Recent Applications of High Resolution Electron Microscopy to Crystalline Arrays of Virus Particles

1978 ◽  
Vol 36 (3) ◽  
pp. 470-482 ◽  
Author(s):  
R.W. Horne
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Analytical Techniques ◽  
Staining Technique ◽  
High Resolution Electron Microscopy ◽  
Optical Diffraction ◽  
Full Potential ◽  
Virus Particles ◽  
Resolution Electron ◽  
Wide Range

The technique of surrounding virus particles with a neutralised electron dense stain was described at the Fourth International Congress on Electron Microscopy, Berlin 1958 (see Home & Brenner, 1960, p. 625). For many years the negative staining technique in one form or another, has been applied to a wide range of biological materials. However, the full potential of the method has only recently been explored following the development and applications of optical diffraction and computer image analytical techniques to electron micrographs (cf. De Hosier & Klug, 1968; Markham 1968; Crowther et al., 1970; Home & Markham, 1973; Klug & Berger, 1974; Crowther & Klug, 1975). These image processing procedures have allowed a more precise and quantitative approach to be made concerning the interpretation, measurement and reconstruction of repeating features in certain biological systems.

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