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Signal and Image Processing in Biometric System Applications
Dr. R. KalpanaDean, Dpt. Of Biomedical
EngineeringRajalakshmi Engineering College
Chennai
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Introduction Importance and significance Different Biometrics Different processing techniques Matching and Decision Governing bodies Limitatons and Future scope
Topics
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Introduction It is an authentication system – replaces existing systems
like pins, signature etc.
Introduction cntd…
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Importance and Significance More secured, cannot be stolen and changed Unique, time invariant, acceptable, available Systems has vendor specific algorithms and
hence proprietoryship Much useful in public benefit schemes Can be used in logical and physical networks Enrollment and presentation – two stages of
operation Template features
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Biometric parameters
Voice Infrared facial
thermography Fingerprints Face, Iris, Ear EKG, EEG Odor, Giat keystroke dynamics, DNA Signature,Retinal scan Hand & finger geometry Subcutaneous blood
vessel imaging
Various sensors
Ultra sound, thermal, capacitive – fingerprints
Camera, Mic, light source
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Accuracy False match rate False nonmatch rate Failure to enrollment rate\ No single metric indicates how well a biometric system or
device performs: Analysis of all three metrics is necessary to assess the performance of a specific technology.
Fingerprints
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1. Preprocessing2. Gabour filters3. Enhancement, Binarisation and
thinning4. Feature extraction5. Template creation6. Final presentation and comparision
Minutiae detection and post processing
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Two main post-processing types:
Structural post-processing Minutiae filtering in the gray-scale domain
Iris recognition
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Sensing – To approachesDaugmann and Wildes et al.,Light sourceLocalisationRepresentation
Typical example
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Iris localisation
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Daugmann approach Gradient ascent algorithm
Wildes et al., uses histogram based and Hough transform
Matching – Iris and System performance Correspondance
Shift, scaling, rotation, pupil dilation Match goodness
Hamming distance – DaugmannNormalisation correlation – Wields
Decision Bionomial distribution Fisher’s linear discriminant function System Performance Performed by IriScan or Iridian They generate FMR and FRR score
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