RETRIEVING HANDWRITTEN DOCUMENTS USING MULTIPLE DOCUMENT RECOGNIZERS AND TECHNIQUES ALLOWING BOTH TYPED AND HANDWRITTEN QUERIES

Patent №

US 7,627,596

Granted

2009-12-01

Filed 2002

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · vision · speech · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10079741

The techniques in the present invention allow both text and handwritten queries, and the queries can be single-word or multiword. Generally, each handwritten word in a handwritten document is converted to a document stack of words, where each document stack contains a list of text words and a word score of some type for each text word in the list. The query is also converted to one or more stacks of words. A measure is determined from each query and document stack. Documents that meet search criteria in the query are then selected based on the query and the values of the measures. The present invention also performs multiple recognitions, with multiple recognizers, on a handwritten document to create multiple recognized transcriptions of the document. The multiple transcriptions are used for document retrieval. In another embodiment, a single transcription is created from the multiple transcriptions, and the single transcription is used for document retrieval.

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
Vision0.98
Planning0.58
AI hardware0.28
Knowledge representation0.20
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 126140448

Assignors

KWOK, THOMAS Y., MOULIC, JAMES R., OCHELTREE, KENNETH B., PERRONE, MICHAEL P., PITRELLI, JOHN F., RATZLAFF, EUGENE H., RUSSELL, GREGORY F., SUBRAHMONIA, JAYASHREE

On an employer assignment, the assignors are typically the inventors.

From the same owner

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