Wacom’s Signature can capture handwritten signatures from a pen tablet. The mdoule simplifies the interaction with Wacom pen tablets for signatures.
The Wacom module supports the STU models which are capable of capturing a handwritten signature.
The correct driver must be installed:
Additionally tools are available for Wacom to perform signature analysis:
Signature Libraries are available for:
Windows
Models marked with a "*" are no longer in production
Download and run Wacom-STU-Driver-5.4.5.exe
Requirements
The driver is required to use colour STU signature pads with the STU SDK and Wacom Signature SDK. The driver is also required when using any STU signature pad on Windows 8 or 8.1.
Summary
The driver is required for the colour display STU signature pads and also when using any of the STU signature pads on Windows 8.1. It allows the device to use USB Bulk Transfer to handle the transfer of increased image data size (compared with the mono STU tablets). On Windows 8 and 8.1 it also disables the Enhanced Power Management setting.
The driver installation merely configures the USB interface for the STU tablet and can be used in all configurations without any detrimental effect.
When using the Trust1Connector, the driver must always be installed.
The Signature Library creates a Signature Object to hold a captured signature. A signature can be handled by an application in its native binary format (Forensic Signature Stream - FSS) or in the Base64 text encoded format such as the following example:
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
The Signature Object contains the following data:
Name
Reason
Date timestamp
Application specific data
System information
Pen data
Data is stored in the Signature Object in an undisclosed proprietary format and API is provided to extract parts of it:
Name
Reason
Date timestamp
Application specific data
One type of application specific data is the hash of a signed document. Before starting signature capture the application can calculate a hash value for the document and include it in the signature data. At a later time the application can recalculate the hash and use the API to compare the new and saved values to determine whether any changes have been made since signing. The results can then be used to indicate the validity of a signature.
API is not provided to extract the pen data because this is personal information which could be used fraudulently. When legitimate access to the full data is needed, such as when the authenticity of a signature is assessed by a qualified Forensic Document Examiner, this is possible using the SignatureScope application (see link in the references).
Model | Pressure levels | Sampling rate | Max. resolution | Active screen area | I/O | Monochrome/colour |
---|---|---|---|---|---|---|
Error | HTTP code | Description |
---|---|---|
STU-300*
512
200 Hz
396 x 100
99 x 25 mm
USB
Monochrome
STU-300B
512
200 Hz
396 x 100
99 x 25 mm
USB
Monochrome
STU-430
1024
200 Hz
320 x 200
96 x 60 mm
USB
Monochrome
STU-430V
1024
200 Hz
320 x 200
96 x 60 mm
Serial
Monochrome
STU-500*
512
200 Hz
640 x 480
102 x 76 mm
USB or serial
Monochrome
STU-520*
512
200 Hz
800 x 480
104 x 60 mm
USB
Colour
STU-530
1024
200 Hz
800 x 480
108 x 65 mm
USB
Colour
STU-540
1024
200 Hz
800 x 480
108 x 65 mm
USB or serial
Colour
STU-541
1024
200 Hz
800 x 480
108 x 65 mm
USB
Colour
WacomListDeviceException
404
Can not connect to the Wacom device
WacomSysInfoException
404
Can not connect to the Wacom device (check if driver has been installed)
WacomSignException
417
Can not proceed the sign operation, although all parameters are provided