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EDAC Systems Paves Way for Advanced Handwriting Recognition Software Module for IBM Datacap

By CIOReview | Monday, August 17, 2015

FREMONT, CA: EDAC Systems launches ReadSCRIPT Version 6, an integrated Advanced Handwriting Recognition Module for IBM’s Datacap document capture platform, a provider of universal capture capabilities to automate the data input of various types of documents for faster data processing and reduced administrative costs. EDAC Systems is a value-added reseller and integrator of document imaging, content, records and case management solutions and services to both government and commercial clients

ReadSCRIPT automates the recognition, classification, and index extraction from all paper and electronic files and records. The new release extends a couple of unique features which includes new Handwriting Learning Module, expanded dictionaries for validation, improved unstructured handwriting keyword spotting and phrase classification and enhanced check processing extraction capabilities. Its validation dictionary expands the number of words and the content which now includes foreign names too.

 “With the addition of the Learning Module, ReadSCRIPT provides the capability to learn word patterns from previous documents from the same writer. By understanding how a person writes a specific word, ReadSCRIPT speeds up the indexing process, enhances the accuracy of the metadata, decreases the verification error rate, and speeds up time to images,” claims Greg Blevins, Marketing and Account Manager, EDAC.

By automatically locating words and short phrases anywhere on unstructured or semi-structured documents, Keyword Spotting enables keywords that can be used as index values or can generate a notification to a user for immediate action. The improved version extends two optional modules, Check Processing and Signature Verification where the former recognizes and extracts standard check fields and provides Courtesy Amount Recognition and Legal Amount Recognition (CAR/LAR) reconciliation and the later locates, classifies and / or verifies that a check of document is signed, and cross checks the authenticity of the signature by comparing the signature against a reference signature database.