METHOD FOR RETRIEVAL OF ARABIC HISTORICAL MANUSCRIPTS

Patent №

US 9,075,846

Granted

2015-07-07

Filed 2012

Owner

KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS

Lab

AI components

4

ml · nlp · vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13712773

The method for retrieval of Arabic historical manuscripts using Latent Semantic Indexing approaches the problem of manuscripts indexing and retrieval by automatic indexing of Arabic historical manuscripts through word spotting, using “Text Image” similarity of keywords. The similarity is computed using Latent Semantic Indexing (LSI). The method involves a manuscript page preprocessing step, a segmentation step, and a feature extraction step. Feature extraction utilizes a circular polar grid feature set. Once the salient features have been extracted, indexing of historical Arabic manuscripts using LSI is performed in support of content-based image retrieval (CBIR).

AI classification

Vision1.00
Natural language1.00
Machine learning1.00
Planning0.62
Knowledge representation0.19
AI hardware0.04
Evolutionary computation0.00
Speech0.00

Ownership

KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS

assignment · 294560810

Assignors

YAHIA, MOHAMMAD HUSNI NAJIB, MR., AL-KHATIB, WASFI G., DR.

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

From the same owner

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