Abstract:
A system, method, and computer program product are provided for scanning. In use, a plurality of virtual files is stored. Additionally, several of the virtual files are each associated with a particular document type. Further, selection of one of the virtual files is detected. Further still, availability of a scanner is determined. Also, a scan is initiated using the scanner. In addition, scan data is received from the scanner. Further, the scan data is processed according to parameters in the selected virtual file. Further, the scanned images are displayed to the user for repair and acceptance, optionally based on a parameter in the selected virtual file or user request. Further still, a scan file is output to at least one of a user, a memory, and another process. Additional systems, methods and computer program products are also presented.
Abstract:
An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments . The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system comprises: storing raw or normalized data from a data capture device in a computer accessible storage medium; analyzing at least portions of the raw or normalized data with a first analytic engine to determine whether the raw data is within a first set of parameters and if not, generating with the first analytic engine a first set of processor settings; processing the raw or normalized data with the first set of processor settings; and analyzing at least portions of the processed data with a second analytic engine to determine whether the processed data is within a second set of parameter and if not, generating with the second analytic engine a second set of processing settings to reprocess the raw or normalized data.
Abstract:
An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments. The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system comprises: storing data received from a data capture device as one or more data segments within a random access cache and in a manner that is randomly accessible; obtaining the data from the random access cache ; analyzing with an analytic engine the cached data to determine when to use different processor control settings; and randomly accessing the one or more data segments stored in the random access cache to reprocess the one or more data segments with the different processor control settings .
Abstract:
An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments . The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system comprises: storing raw or normalized data from a data capture device in a computer accessible storage medium; analyzing at least portions of the raw or normalized data with a first analytic engine to determine whether the raw data is within a first set of parameters and if not, generating with the first analytic engine a first set of processor settings; processing the raw or normalized data with the first set of processor settings; and analyzing at least portions of the processed data with a second analytic engine to determine whether the processed data is within a second set of parameter and if not, generating with the second analytic engine a second set of processing settings to reprocess the raw or normalized data.