LOWER MODIFIER DETECTION AND EXTRACTION FROM DEVANAGARI TEXT IMAGES TO IMPROVE OCR PERFORMANCE

Patent №

US 9,064,191

Granted

2015-06-23

Filed 2013

Owner

QUALCOMM INCORPORATED

Lab

AI components

5

nlp · vision · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13791188

Systems, apparatus and methods for extracting lower modifiers from a word image, before performing optical character recognition (OCR), based on a plurality of tests comprising a first test, a second test and a third test are presented. The method obtains the word image and performing a plurality of tests (e.g., a first test, a second test and a third test). The first test determines whether a vertical line spanning the height of the word image exists. The second test determines whether a jump of a number of components in the lower portion of the word image exists. The third test determines sparseness in a lower portion of the word image. The plurality of tests may run sequentially and/or in parallel. Results from the plurality of tests are used to decide whether a lower modifier exists by comparing and accumulating test results from the plurality of tests.

AI classification

Vision1.00
Natural language1.00
AI hardware1.00
Speech0.77
Planning0.67
Knowledge representation0.06
Machine learning0.00
Evolutionary computation0.00

Ownership

QUALCOMM INCORPORATED

assignment · 301060678

Assignors

KRISHNA KUMAR, RAJ KUMAR, BAHETI, PAWAN KUMAR

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

© 2026 NYSGPT2525 LLC