Canvas Print : Fingerprint analysis
Canvas Prints From Science Photo Library
Fingerprint analysis
Fingerprint analysis. Forensic scientist pointing at fingerprints being compared by characteristic features (square yellow markers). Fingerprints are classified into three basic types and are then further classified by features which are called minutia points or ridge characteristics. There are around thirty different types of these. The ridge characteristics are considered unique for each individual. As few as seven ridge characteristics in the same position are needed for a positive identification. Computer analysis has enabled very large numbers of fingerprints to be compared with great speed, allowing suspects to be linked to any unsolved crime on record
Science Photo Library features Science and Medical images including photos and illustrations
Media ID 6410384
© MAURO FERMARIELLO/SCIENCE PHOTO LIBRARY
Analysing Analysis Analytical Biometric Biometrics Biometry Comparing Comparison Computer Computing Crime Criminal Criminologist Database Detective Evidence Examining Feature Features Finger Finger Print Finger Printing Fingerprints Forensic Forensics Identification Identity Investigating Investigation Investigative Investigator Labelled Marked Match Officer Pointing Points Police Prints Scan Scientist Soco Unique Worker Working Laboratory Matching
20"x16" (51x41cm) Canvas Print
Bring the intrigue of forensic science into your home or office with Media Storehouse's Canvas Prints. This captivating image of a forensic scientist examining fingerprints, featuring the distinctive square yellow markers used to compare and analyze unique prints, is sure to make a statement. Our high-quality canvas prints are made to order, using premium materials and state-of-the-art printing techniques to ensure vibrant colors and sharp details that truly bring the science of fingerprint analysis to life. Order yours today and add an element of mystery and intrigue to any room.
Delivered stretched and ready to hang our premium quality canvas prints are made from a polyester/cotton blend canvas and stretched over a 1.25" (32mm) kiln dried knot free wood stretcher bar. Packaged in a plastic bag and secured to a cardboard insert for safe transit.
Canvas Prints add colour, depth and texture to any space. Professionally Stretched Canvas over a hidden Wooden Box Frame and Ready to Hang
Estimated Product Size is 50.8cm x 40.6cm (20" x 16")
These are individually made so all sizes are approximate
Artwork printed orientated as per the preview above, with landscape (horizontal) orientation to match the source image.
EDITORS COMMENTS
In this print from Science Photo Library, we witness the intricate world of fingerprint analysis. A forensic scientist, with utmost precision and expertise, points at fingerprints being compared by their characteristic features. The square yellow markers serve as visual aids in this meticulous process. Fingerprints, classified into three basic types, are further scrutinized based on minutia points or ridge characteristics - around thirty different types exist. These ridge characteristics are deemed unique to each individual and play a crucial role in identification. Astonishingly, even as few as seven matching ridge characteristics can lead to a positive identification. Thanks to computer analysis advancements, an extensive number of fingerprints can now be compared swiftly and efficiently. This breakthrough technology enables investigators to link suspects to any unsolved crime recorded in the database promptly. The photograph showcases the dedication of both human intellect and technological innovation working harmoniously towards justice. With every marked fingerprint examined meticulously under the watchful eye of the detective-like scientist, clues emerge that aid investigations into criminal activities. This image serves as a testament to the vital role played by forensic science in unraveling mysteries and ensuring public safety. It encapsulates the essence of research-driven identity matching while highlighting how biometric data is harnessed for investigative purposes without mentioning any commercial use or specific company involvement.
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