ACECAD ACECAT 302 DRIVERS FOR WINDOWS MAC
ACECAD ACECAT 302 DRIVER DETAILS:
|File Size:||23.3 MB|
|Supported systems:||Windows Vista, Windows Vista 64-bit, Windows XP 64-bit, Mac OS X, Mac OS X 10.4, Mac OS X 10.5|
|Price:||Free* (*Free Registration Required)|
ACECAD ACECAT 302 DRIVER
At a zero-diagonal stepthe main diagonal of the summed matrix M' is set to zero. The resulting matrix M' is herein called a weight matrix or a memory matrix.
Once a feature in the test input signature has been identified and represented as a test feature bit string, differences between the test feature bit string and the template feature bit strings may be determined according to the asynchronous update paradigm of the discrete Hopfield network. String distance may be computed according to the Levenshtein distance. The Levenshtein distance is known in the art and so is not disclosed in detail here. Levenshtein, published in "Doklady Akademii Nauk SSR" 4pageshereby incorporated by reference as if fully set forth herein. Briefly, the Levenshtein distance between two Acecad Acecat 302 of symbols may be computed by determining how many symbols must be added, how many deleted, and how many substituted, from a first string A to a second string B.
At an initialization stepthe length La of string A, the length Lb of string B, the deletion cost D, the insertion cost I, and Acecad Acecat 302 substitution cost S may be determined.
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A preferred value for D may be 1, a preferred value for I may be 1, and a preferred value for S may be 1. A distance matrix M may be allocated with an initial value for M 0,0 of zero. The variable i may be a counter. The variable j may be a counter. At stepthe ith position of string A may be compared with the jth position of string B. For each location Acecad Acecat 302 M, the value for M i,j may be set to M i-1,j-1 at stepplus S if the values of the strings differ in their ith and jth positions at step At stepthe value for M i,j may be computed for achieving the substitution by deletion or insertion instead. At stepthe value for M i,j may be set to a lower value if one could be achieved by deletion or insertion instead. At an initialization-stepthe weight matrix M' and a feature bit string b are known.
An altered feature bit string b' may be set equal to b. At a loop-complete stepthe updated bit string b' may be compared with the original bit string b. If they are different, the updated bit string b' may be assigned to the original bit string b at Acecad Acecat 302 and the update-loop may be re-entered.
Otherwise, the update-loop is complete and the method may continue with step At a measurement stepthe Levenshtein distance of the updated bit string b' from the template feature bit strings may be computed. At a minimum-distance stepthe minimum Levenshtein distance computed may be determined to be the distance of the test feature bit string from the template feature bit strings. In a preferred embodiment, the pen movement feature data may comprise 32 bits, and may be packed into 4 bytes at 8 bits per byte. The pen speed feature data may comprise 32 integers, encoded with six bits per integer, thus bits, and may be packed into 24 bytes at 8 bits Acecad Acecat 302 byte.
The pen status feature data may comprise 32 bits, and may be packed into 4 bytes at 8 bits per byte. The pixel dispersion feature data may comprise 32 bits, and may be packed into 4 bytes at 8 bits per byte. The polar coordinate feature data may comprise 24 integers, encoded with six bits per integer, thus bits, and may be packed into 18 bytes at 8 bits per byte.
In a preferred embodiment, a packed data structure for feature data may be expressed as follows in the C programming language: In a preferred embodiment, an unpacked data structure for feature data may be expressed as follows in the C programming language: An example Levenshtein distance comparison is shown in the following table for two bit bitstrings: Let a test feature vector of 20 bits be defined as follows: At a threshold stepan acceptance threshold for each feature is determined. Acecad Acecat 302 a preferred embodiment, the acceptance threshold may be determined in response to the distances between pairs of the template input signatures In a preferred embodiment with five template input signaturesthere will be ten such pairwise distances, as shown in the following table: A preferred value for k may be 7, i.
The greater k is, the tighter the acceptance threshold; i.
At an averaging stepan average acceptance threshold a Acecad Acecat 302 an average distance d may be computed. At a comparison stepthe average acceptance threshold a and an average distance d may be compared.
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Acecad Acecat 302 If the average acceptance threshold a is less than the average distance d, the test input signature may be accepted and the verification signal may be generated. Otherwise, the test input signature may be rejected and the verification signal may be absent. Alternative Embodiments While preferred embodiments are disclosed herein, many variations are possible which remain within the concept and scope of the invention, and these variations would become clear to one of ordinary skill in the art after perusal of the specification, drawings and claims herein. Claims 32 1.
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A method as in claim 1, comprising the steps of associating a set of authorization privileges with at least one said template signature; associating said test signature with at least one said template signature, responsive to said step of verifying; and authorizing a person associated with said test signature responsive to said step of verifying and responsive to said authorization privileges. A method as in claim 1, comprising the steps of transforming each one of said template signatures into a first data structure representative of movements of a writing instrument for said template signature; identifying a relative rotation of each one of said template signatures; and altering each one of said first data structures responsive to said step of identifying.
A method as in claim 1, comprising the steps of transforming said test signature into a second data structure representative of movements of a writing instrument for said test signature; identifying a relative rotation of said test signature; and altering said second data structure responsive to said step of identifying. A method as in claim 1, comprising the steps of transforming each one of said template signatures into a first data structure representative of movements of a writing instrument for said template signature; dividing said first data structure into a plurality of segments; computing a measure of dispersion for each said segment; defining, for a first said segment, a set of retained pixels less than all pixels in said first segment, responsive to said Acecad Acecat 302 of dispersion for said first segment; computing a regression line responsive to said retained pixels; and rotating said template signature responsive to said regression line.
A method as in claim 1, wherein each one of said template signatures comprises a plurality of pixels, each said pixel having spatial information associated therewith; said method comprising the steps of determining a measure of physical Acecad Acecat 302 for written representations of each one of said template signatures; and altering said spatial information for each said pixel so that said measure is substantially equal for each one of said template signatures. USB Tablet Driver for Acecat Flair USB, AcecatFlair II GT, Flair II GT Windows 98//XP. Language, Version, Update, Size, Driver. English, U3. Tripod Heads - Pan and Tilt or Ball head tripods? ULTIMATE GUIDE to Buying a WACOM TABLET!
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