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
Ownership
QUALCOMM INCORPORATED
assignment · 301060678
Assignors
KRISHNA KUMAR, RAJ KUMAR, BAHETI, PAWAN KUMAR
On an employer assignment, the assignors are typically the inventors.