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1Syst me International d Unit s the international standard of measurement notations, such as, millimeters and kilograms 250 GB is the typical data capacity given for a dual layer BD fifty billion bytes, measured in magnitudes of 1000 The 4657 Gbyte value is the true data capacity of BD, measured using the computing method in magnitudes of 1024 The 6 MB/s value is the 48 Mbps BD reference data transfer rate in thousands of bytes per second The 572 Mbytes/s value is the rate measured in computer units of 1024 bytes per second If you don t know what any of this means, don t worry, by the end of 5 it should all make sense

Increased government and industry adoption Today, numerous public and private organizations are using biometrics As an outgrowth of the September 11, 2001, terrorist attacks, an increased awareness of physical security and public safety has also helped make biometrics attractive Manufacturers are increasingly looking to provide biometrics with computer equipment and products Many companies offer biometric authentication options and include biometric sensors and matching capabilities as part of their products For example, there are instances of fingerprint sensors built right into keyboards, mice, and laptops, and second generation sensors are becoming much more plug and play As discussed in case studies presented in s 16 and 18, biometrics are becoming increasingly popular

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potential error becomes significant There is almost a five percent difference at the mega level and more than a seven percent difference at the giga level If you are planning to produce a Blu-ray Disc and you take pains to make sure your data takes up just under 25 gigabytes, you will be surprised and annoyed to discover that only 2328 gigabytes fit on the disc Things will get worse down the road with a ten percent difference at the tera level For the mathematically challenged, Table I2 provides a ready reference reflecting the measurement values in decimal and in binary computation Table I2 Media Gigabyte Conversions

This section discusses biometrics systems key components: characteristics and traits, standards, enrollment, enrollment policy, processing, matching, and template management and repository issue

DVD-5 (SL) DVD-9 (DL) BD-25 (SL) BD-50 (DL)

Because computer memory and data storage usually are measured in megabytes and gigabytes (as opposed to millions of bytes and billions of bytes), this book uses 1024 as the basis for measurements of data size and data capacity, with abbreviations of KB, MB, and GB However, since these abbreviations have become so ambiguous, the term is spelled out when practical In cases where it is necessary to be consistent with published numbers based on the alternative usage, the words thousand, million, and billion are used, or the abbreviations k bytes, M bytes, and G bytes are used (note the small k and the spaces) To distinguish kilobytes (1024 bytes) from other units such as kilometers (1000 meters), common practice is to use a large K for binary multiples Unfortunately, other abbreviations such as M (mega) and m (micro) are already differentiated by case, so the convention cannot be applied uniformly to binary data storage And in any case, too few people pay attention to these nuances In 1999, the International Electrotechnical Commission (IEC) produced new prefixes for binary multiples3 (see Table I1) Although the new prefixes have not caught on, they are a valiant effort to solve the problem The main strike against them is that they sound a bit silly For example, the prefix for the new term gigabinary is gibi, so a BD-25 can be said to hold 2328 gibibytes, or GiB The prefix for kilobinary is kibi, and the prefix for terabinary is tebi, yielding kibibytes and tebibytes Jokes about kibbles and bits and teletebis are inevitable As if all this were not complicated enough, data transfer rates, when measured in bits per second, are almost always multiples of 1000, but when measured in bytes per second

There are several key aspects that contribute to a biometric s development and, inherently, its robustness and distinctiveness These two terms require explanation Robustness refers to the ability of a particular biometric to be repeatedly presented over time to the biometric system for successful automated measurement Robustness is a function of the particular biometric s permanence and stability (An iris is more robust than a voice) Distinctiveness refers to the ability of a person s particular biometric to be different from others in the user population, and the difference can be measured (A fingerprint is more distinctive than hand or finger geometry)

3The new binary prefixes are detailed in IEC 60027-2-am2 (1999-01): Letter symbols to be used in electrical technology Part 2: Telecommunications and electronics, Amendment 2

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