With the drastic increase in different types of data with numerous formats, the need to integrate and share data across systems has become vital. Two of the many benefits of digitising your paperwork are; A much quicker document search and retrieval system and reduction in physical space requirements.
Scanning and Digital Imaging is the conversion of physical documents and images of all kind, in any format, into their digital equivalents. It reduces the requirement of physical space and provides much quicker document search and retrieval. RVS provides total digitizing solutions and targets for operator-friendly design and productivity. We mainly focus on client-specific document management requirements so that we can offer you effective solutions keeping present and future needs in mind.
Following are the main features of Digitization:
Streamline business processes:
- Improve productivity and efficiency.
- Optimize processing time.
- Streamline paper-based processes.
- Deliver Data/Information to the right person at the right time.
Document Management:
- Management and Archival of documents in a structured and secure manner.
- Protection of your paper records.
- Reduces risk of lost or misplaced documents.
Data Capture:
- Record information from paper documents, digital content and multimedia.
- Transform and deliver the captured information into various systems: CRM, ERP, Document Management, MIS, etc.
- Read Information from scannable inputs like QR codes, barcodes, RFID chips.
Continuous Availability:
- Keep end users connected to their mission- critical applications.
- Not just LAN based; WAN-enabled.
- Provision of robust high availability and disaster recovery solutions.
Its other features are:
- Minimize Paper Storage
- Increase Information Security
- Eliminate Manual Searches
- Enhance Customer Service
- Improved Information Availability – Multipoint access
Data Entry OCR (Optical Character Recognition):
Optical character recognition (OCR) sometimes also called as optical character reader, is the mechanical or electronic conversion of images of handwritten, printed text or typed into machine-encoded text. It is broadly used as a form of data entry from printed paper data records, whether printouts of static-data, bank statements, invoices, passport documents, business cards, mail, or any suitable documentation. It is a common method of digitizing printed texts so that data can be electronically searched, edited, stored more compactly, and used in machine processes such as text-to-speech, machine translation, key data and text mining. OCR is a field of research in artificial intelligence, pattern recognition and computer vision.
Early versions required to be trained using images of each character, and worked on one font at a time. Our advanced system has capability of producing high level of recognition accuracy for mostly all fonts which are common now. Our system has capabilities of reproducing formatted output that closely resembles the original page including columns, images, and other non-textual components. We have upgraded our OCR system to work as an ICR (Intelligent character recognition) which is more efficient in the same work.
Following are the step-wise techniques used in OCR:
- Pre-Processing
- Character recognition
- Post-Processing
- Application-Specific optimizations
