Internal fingerprint extraction

Fingerprints are a non-invasive biometric that possess significant advantages. However, they are subject to surface erosion and damage; distortion upon scanning; and are vulnerable to fingerprint spoofing. The internal fingerprint exists as the undulations of the papillary junction - an intermediary layer of skin - and provides a solution to these disadvantages. Optical coherence tomography is used to capture the internal fingerprint. A depth profile of the papillary junction throughout the OCT scans is first constructed using fuzzy c-means clustering and a fine-tuning procedure. This information is then used to define localised regions over which to average pixels for the resultant internal fingerprint. When compared to a ground-truth internal fingerprint zone, the internal fingerprint zone detected automatically is within the measured bounds of human error. With a mean- squared-error of 21.3 and structural similarity of 96.4%, the internal fingerprint zone was successfully found and described. The extracted fingerprints exceed their surface counterparts with respect to orientation certainty and NFIQ scores (both of which are respected fingerprint quality assessment criteria). Internal to surface fingerprint correspondence and internal fingerprint cross correspondence were also measured. A larger scanned region is shown to be advantageous as internal fingerprints extracted from these scans have good surface correspondence (75% had at least one true match with a surface counterpart). It is also evidenced that internal fingerprints can constitute a fingerprint database. 96% of the internal fingerprints extracted had at least one corresponding match with another internal fingerprint. When compared to surface fingerprints cropped to match the internal fingerprints’ representative area and locality, the internal fingerprints outperformed these cropped surface counterparts. The internal fingerprint is an attractive biometric solution. This research develops a novel approach to extracting the internal fingerprint and is an asset to the further development of technologies surrounding fingerprint extraction from OCT scans. No earlier work has extracted or tested the internal fingerprint to the degree that this research has

Optical Coherence Tomography and Its Non-medical Applications

Optical coherence tomography (OCT) is a promising non-invasive non-contact 3D imaging technique that can be used to evaluate and inspect material surfaces, multilayer polymer films, fiber coils, and coatings. OCT can be used for the examination of cultural heritage objects and 3D imaging of microstructures. With subsurface 3D fingerprint imaging capability, OCT could be a valuable tool for enhancing security in biometric applications. OCT can also be used for the evaluation of fastener flushness for improving aerodynamic performance of high-speed aircraft. More and more OCT non-medical applications are emerging. In this book, we present some recent advancements in OCT technology and non-medical applications

Spectrally and temporally resolved single photon counting in advanced biophotonics applications

Biomedicine requires highly sensitive and efficient light sensors to analyse light-tissue or light-sample interactions. Single-photon avalanche diode (SPAD) sensors implemented with complementary metal-oxide-semiconductor (CMOS) technology have a growing range of applications in this field. Single-photon detection coupled with integrated timing circuits enables us to timestamp each detected photon with high temporal resolution (down to picoseconds). Arrays of SPAD based pixels and CMOS technology offer massively parallel time-resolved single-photon counting for spectrally and temporally resolved analysis of various light phenomena.This thesis examines how time-resolved CMOS SPAD based line sensors with per pixel timing circuits can be utilized to advance biophotonic applications. The study focuses on improving the existing techniques of fluorescence and Raman spectroscopy, and demonstrates for the first time CMOS SPAD based detection in optical coherence tomography (OCT). A novel detection scheme is proposed combining low-coherence interferometry and time-resolved photon counting. In this approach the interferometric information is revealed from spectral intensity measurements, which is supplemented by time-stamping of the photons building up the spectra.Two CMOS SPAD line sensors (Ra-I and its improved version, Ra-II) were characterized and the effect of their parameters on the selected techniques was analysed. The thesis demonstrates the deployment of the Ra-I line sensor in time-resolved fluorescence spectroscopy with indications of the applicability in time-resolved Raman spectroscopy. The work includes integration of the sensor with surrounding electrical and optical systems, and the implementation of firmware and software for controlling the optical setup. As a result, a versatile platform is demonstrated capable of micro- and millisecond sampling of spectral fluorescence lifetime changes in a single transient of fast chemical reactions.OCT operating in the spectral domain traditionally uses CMOS photodiode and charge-coupled device (CCD) based detectors. The applicability of CMOS SPAD sensors is investigated for the first time with focus on the main limitations and related challenges. Finally, a new detection method is proposed relying on both the wave and particle nature of light, recording time-resolved interferometric spectra from a Michelson interferometer. This method offers an alternative approach to analyse luminous effects and improves techniques based on the light’s time of flight. As an example, a proof of concept study is presented for the removal of unwanted reflections from along the sample and the optical path in an OCT setup

High frequency ultrasonic characterization of human skin In vivo

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.Includes bibliographical references (p. 144-161).High frequency (>20 MHz) ultrasound has numerous potential applications in dermatology because of its ability to penetrate several millimeters into the skin and provide information at a spatial resolution of tens of microns. However, conventional B-scan images of skin tissues often lack the capability to characterize and differentiate various skin tissues. In this work, quantitative ultrasonic methods using the attenuation coefficient, backscatter coefficient, and echo envelope statistics were studied for their potential to characterize human skin tissues in vivo. A high frequency ultrasound system was developed using polymer transducers, a pulser/receiver, high-speed digitizer, 3-axis scanning system, and a PC. Data collected using three different transducers with center frequencies of 28, 30 and 44 MHz were processed to determine the characteristics of normal human dermis and subcutaneous fat. Attenuation coefficients were obtained by computing spectral slopes vs. depth, with the transducers axially translated to minimize diffraction effects. Backscatter coefficients were obtained by compensating recorded backscatter spectra for system-dependent effects, and additionally for one transducer, using the reference phantom technique. Good agreement was seen between the results from the different transducers/methods. The attenuation coefficients were well described by a linear frequency dependence whose slope showed significant differences between the forearm and fingertip dermis, but not between the forearm dermis and fat. The backscatter coefficient of the dermis showed an increasing trend with frequency and was significantly higher than that of fat.(cont.) A maximum likelihood fit of six probability distributions (Rayleigh, Rician, K, Nakagami, Weibull, and Generalized Gamma) to fluctuations in echo envelope data showed that the Generalized Gamma distribution modeled the envelope better than the other distributions. Fat was seen to exhibit significantly more pre-Rayleigh behavior than the dermis. Data were also obtained from the skin of patients patch-tested for contact dermatitis. A significant increase in skin thickness, decrease in mean backscatter of the upper dermis, and decrease in attenuation coefficient slope was found at the affected sites compared to normal skin. However, no differences in terms of echo statistics were found in the mid-dermis. These results indicate that a combination of ultrasonic parameters have the potential to non-invasively characterize skin tissues.by Balasundara I. Raju.Ph.D

Optical Fiber Interferometric Sensors

The contributions presented in this book series portray the advances of the research in the field of interferometric photonic technology and its novel applications. The wide scope explored by the range of different contributions intends to provide a synopsis of the current research trends and the state of the art in this field, covering recent technological improvements, new production methodologies and emerging applications, for researchers coming from different fields of science and industry. The manuscripts published in the Special issue, and re-printed in this book series, report on topics that range from interferometric sensors for thickness and dynamic displacement measurement, up to pulse wave and spirometry applications