Practicing Records Management

We are talking here Document management. We talked different aspect related with document management in our previous post. In last post we started talk on Record management. We talked RM is the practice of identifying, classifying, archiving, preserving, and destroying records. It includes creating, receipt, maintenance, use and disposition of records. Today we are going to talk about how to practice records management.

Records management (RM) practice involves following steps.

• Creating, approving, and enforcing records policies, including a classification system and a records retention policy
  
• Developing a records storage plan, this includes the short and long-term housing of physical records and digital information
  
• Identifying existing and newly created records, classifying them, and then storing them according to standard operating procedures
  
• Coordinating access and circulation of records within and even outside of an organization
  
• Executing a retention policy to archive and destroy records according to operational needs, operating procedures, statutes, and regulations.

Often, a records management system helps to aid in the capture, classification, and ongoing management of records throughout their lifecycle. Such a system may be paper based (such as index cards as used in a library), or may be a computer system, such as an electronic records management application.

Records management - RM

Records management, or RM, is the practice of identifying, classifying, archiving, preserving, and destroying records. The ISO 15489: 2001 standard defines it as "The field of management responsible for the efficient and systematic control of the creation, receipt, maintenance, use and disposition of records, including the processes for capturing and maintaining evidence of and information about business activities and transactions in the form of records".

The ISO defines records as "information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations or in the transaction of business". The International Council on Archives (ICA) Committee on Electronic Records defines a record as, "a recorded information produced or received in the initiation, conduct or completion of an institutional or individual activity and that comprises content, context and structure sufficient to provide evidence of the activity."

While the definition of a record is often identified strongly with a document, a record can be either a tangible object or digital information which has value to an organization. For example, birth certificates, medical x-rays, office documents, databases, application data, and e-mail are all examples of records. Records are to be managed according to their value to the organization rather than their physical or logical characteristics.

The other crucial aspect of the above definitions is their consistent reference to records as evidence. Indeed, records management can be seen as being primarily concerned with the identification and management of the evidence of an organization's business activities.

ref: wikipedia, woodblinds, agents website design

Off-line Handwriting Recognition

Off-line handwriting recognition involves the automatic conversion of text in an image into letter codes which are usable within computer and text-processing applications. The data obtained by this form is regarded as a static representation of handwriting.

The technology is successfully used by businesses which process lots of handwritten documents, like insurance companies. Insurance software companies like Agents web world and agencyorganizer are useing technology successfully. The quality of recognition can be substantially increased by structuring the document (by using forms).

The off-line handwriting recognition is comparatively difficult. As different people have different handwriting styles, so it becomes difficult to recognize the handwriting by computer. Nevertheless, limiting the range of input can allow recognition to improve. For example, the ZIP code digits are generally read by computer to sort the incoming mail.

Research
Handwriting Recognition has an active community of academics studying it. The biggest conferences for handwriting recognition are the International Workshop on Frontiers in Handwriting Recognition (IWFHR), held in even-numbered years, and the International Conference on Document Analysis and Recognition (ICDAR), held in odd-numbered years. Both of these conferences are organized under the auspices of the IEEE. Active areas of research include:

• Online Recognition
• Offline Recognition
• Signature Verification
• Postal-Address Interpretation
• Bank-Check Processing

ref: agents web world, wikipedia

Online Handwriting Recognition -3

Online Handwritting Recognition we are talking here. Document Management Software (DMS) are part of Document management system. If we talk with reference to insurance industry , than Insurance CRM Software helps any business to handle their document management. Insurance SFA software also help business to deal with it's sales/marketing related document management. Today, we are going to talk about Online Handwriting Recognition.

A Tablet PC is a special notebook computer that is outfitted with a digitizer tablet and a stylus, and allows a user to handwrite text on the unit's screen. The operating system recognizes the handwriting and converts it into typewritten text. Windows Vista includes personalization features that learn a user's writing patterns and/or vocabulary for English, Japanese, Chinese Traditional, Chinese Simplified and Korean. The features include a "personalization wizard" that prompts for samples of a user's handwriting and uses them to retrain the system for higher accuracy recognition. This system is distinct from the less advanced handwriting recognition system employed in its Windows Mobile OS for PDAs.

In recent years, several attempts were made to produce ink pens that include digital elements, such that a person could write on paper, and have the resulting text stored digitally. The success of these products is yet to be determined.

Although handwriting recognition is an input form that the public has become accustomed to, it has not achieved widespread use in either desktop computers or laptops. It is still generally accepted that keyboard input is both faster and more reliable. As of 2006, many PDAs offer handwriting input, sometimes even accepting natural cursive handwriting, but accuracy is still a problem, and some people still find even a simple on-screen keyboard more efficient.

ref: Insurance Software, Insurance CRM, Document Management Software, wikipedia

Online Handwriting Recognition - 2

Agency Management Software with crm software and sfa software are available in the markets. Document management system we are talking here. We talked about Online Handwritting Recognition in our last post. We continue our talk on the same today.

A modern handwriting recognition system can be seen in Microsoft's operating system running on Tablet PCs (notably Windows XP Tablet PC Edition and Windows Vista). It is based on a Time Delayed Neural Network (TDNN) classifier, nicknamed "Inferno", built at Microsoft. Later on a version of CalliGrapher, the handwriting recognition software used on Newton OS 2.0, which in 1999 Microsoft acquired from ParaGraph International was integrated as a secondary recognizer with the TDNN.

The "third generation" riteScript handwriting recognition technology, built by EverNote Corporation (the successor of ParaGraph International and Pen&Internet division of Parascript) in 2000-2004, is included in the ritePen and EverNote software. ritePen also includes fusion technology, which allows combining riteScript with the embedded handwriting recognition in Windows Vista to improve recognition accuracy of each handwriting recognition engine.
We will finish our talk in next post on

ref: agency management software, insurance software, wikipedia

Online Handwriting Recognition - 1

Document management we are talking here is part of insurance crm software or insurance sfa software which included in any agency management system. we talked Handwriting Recognition in our previous talked. In last talk we talked little about Online Handwriting Recognition. Today we continue our talk on the same.

Handwriting recognition is commonly used as an input method for PDAs. The first PDA to provide written input was the Apple Newton, which exposed the public to the advantage of a streamlined user interface. However, the device was not a commercial success, owing to the unreliability of the software, which tried to learn a user's writing patterns. By the time of the release of the Newton OS 2.0, wherein the handwriting recognition was greatly improved, including unique features still not found in current recognition systems such as modeless error correction, the largely negative first impression had been made.

Another effort was Go's tablet computer using Go's Penpoint operating system and manufactured by various hardware makers such as NCR and IBM. IBM's ThinkPad tablet computer was based on Penpoint operating system and used IBM's handwriting recognition. This recognition system was later ported to Microsoft Windows for Pen Computing, and IBM's Pen for OS/2. None of these were commercially successful.

Palm later launched a successful series of PDAs based on the Graffiti® recognition system. Graffiti improved usability by defining a set of pen strokes for each character. This narrowed the possibility for erroneous input, although memorization of the stroke patterns did increase the learning curve for the user.

We continue our talk on online handwriting recognition in next post.

ref: agency management system, Insurance Software, Document Organizer, wikipedia

Online Handwriting Recognition

Agency Management System (AMS) include Document Management and lead management. we talked about OCR, ICR in our previous talks. today we are going to talk On-line recognition as part of our talk on handwriting recognition.

On-line recognition
On-line handwriting recognition involves the automatic conversion of text as it is written on a special digitizer or PDA, where a sensor picks up the pen-tip movements X(t),Y(t) as well as pen-up/pen-down switching. That kind of data is known as digital ink and can be regarded as a dynamic representation of handwriting. The obtained signal is converted into letter codes which are usable within computer and text-processing applications.

The elements of an on-line handwriting recognition interface typically include:

• a pen or stylus for the user to write with.
• a touch sensitive surface, which may be integrated with, or adjacent to, an output display.
• a software application which interprets the movements of the stylus across the writing surface, translating the resulting curves into digital text.

we continue our talk on online handwriting recognition in our next post.

ref: agency management system, insurance sfa, wikipedia