Author Archives: devynp
Face Recognition System: Clever or Creepy?
Photo programs that could organize, recognize, and cluster people’s photos are neat because it allows the user to search for pictures. The face recognition technology has also been used to identify people. The way the system works is that the … Continue reading
Security Review: Self-scanning Checkout
Self-scanning checkout, also called “self-checkout” is an automated process that enables shoppers to scan, bag, and pay for their purchases without human assistance. A typical self-scanning checkout lane looks like a traditional checkout lane except that the shopper interacts with … Continue reading
Illegal file transfer using BitTorrent protocol
BitTorrent has been popularly used for transferring files illegally because it reduces a vast amount of networking bandwidth that would have been required. The way it works is that users can connect to each other directly to send and receive … Continue reading
Security Review: Fingerprint Scanners
Fingerprint identification is the oldest biometric method. Everybody has a set of unique fingerprints, formed by the ridges and valleys on the skin. Fingerprints have been used in many fields, such as crime scene investigation and criminal database to identify people. In terms of technology, biometrics are used as an authentication method, alone or in combination of other techniques, such as password or another biometric forms.
A fingerprint scanner collects, prints, and creates images that can then be analyzed and compared to images already on record. Optical and capacitance are the two major scanners used on the market to collect and analyze fingerprints. An optical scanner works like a digital camera where it collects data on the light reflected off of one’s fingerprints. The lightness/darkness of the reflection is created by ridges and valleys on the skin. A capacitance scanner also creates an image of one’s print; however, it uses electrical current and conductivity to mark the light/darkness area of the print.
After an image collection, a fingerprint scanner system compares specific features of the print (or minutiae), such as angle of certain ridge/valley, location of circles, etc. To get a match, the system doesn’t need to find every pattern in both the sample and the record, it just needs enough matches, and threshold varies. Continue reading