Optical Recognition in Software

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the medium, and they register only the later imprint. The error rate experienced with this form of encryption is approximately 1 in 100,000 scans. One of the most important features of fingerprint biometrics is its low cost. Scanners are fairly inexpensive, and as the technology becomes more common the cost should only decrease. In fact, in anticipation of widespread use of this technology in the future, some mouse manufacturers are developing products with built-in fingerprint scanner technology.
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Optical Recognition
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There are two common types of optical biometrics: retinal and iris. These devices are more accurate than fingerprint and hand devices because both the retina and the iris have more characteristics to identify and match than those found on the hand. Retinal and iris scanning devices have come a long way in recent years and now allow individuals to be scanned even through eyeglasses or contact lenses. The error rate for a typical retina or iris scanner is about 1 in 2,000,000 attempts, something that further demonstrates the reliability of this technology. Two drawbacks to these devices, however, are that they have difficulty reading images of those people who are blind or have cataracts and that they currently are cumbersome to use. The cost of these systems averages $6,500, making them somewhat unattractive for network users. But as this technology becomes more standardized and accepted, the cost should fall and become less of a factor in decision making.
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In this form of biometrics, an image is examined for overall facial structure. This approach is often less reliable than more common forms such as fingerprints and iris scans. Moreover, the interpretative functions performed by the computer are much more subjective using this technology. Although one benefit of facial biometrics is that it can be applied at either at close range or over greater distances, it loses accuracy progressively as the distance increases between the individual and the scanner. Changes in lighting can also increase the error rate. An attractive feature of facial recognition products is their low cost. Units can typically be purchased for as little as $150. At this price, this technology might lend itself to electronic commerce, but the units can be cumbersome to use and still are not as reliable as other forms of biometrics for encryption purposes.
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Voice recognition offers several advantages for use in encryption. Not only is voice biometrics perfect for telecommunications applications, but also most modern personal computers already have the necessary hardware to use the applications. Even if they don t, sound cards can be purchased for as little as $50, and condenser microphones start at about $10. This means that for less than $100, individuals can possess the technology needed to have fairly reliable biometric encryption technology for use over the Internet. This type of biometric is not as accurate, however, as some other forms. The error rate for voice recognition ranges between two percent and five percent. However, it lends itself well to use in the public telephone system and is more secure than PINs. Some drawbacks to this technology are that voiceprints can vary over the course of the day, and if a user has a health condition such as a cold or laryngitis, it can affect verification.
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Most adults are familiar with the signing of documents. In our personal lives we sign everything from personal checks to birthday cards. In the business world we sign things such as expense accounts and other official documents. This widespread practice lends itself well to the use of signature recognition as a means of biometric verification in electronic commerce. This type of signature identification, however, is different from the normal two-dimensional signature that you find on a form or document. Biometric signature recognition operates in a three-dimensional environment that uses measurements not only of the height and width but also the amount of pressure applied in a pen stroke; the latter measurement gauges the depth of the stroke as if it were made in the air. This extra dimension helps to reduce the risk of forgery that can occur in two-dimensional signatures. One drawback to signature recognition is that people do not always sign documents in exactly the same manner. The angle at which they sign may be different because of their seating position or their hand placement on the writing surface. Therefore, even though the three-dimensional approach adds to its ability to discern impostors, this method is not as accurate as other forms of biometric verification. Signature recognition systems are not as expensive as some of the higher-end systems such as iris scanners; they are priced more in the
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