Innovative Feature Sets for Machine Learning based Telugu Character Recognition

Jyothi, J; Manjusha, K.; Kumar, M. Anand

doi:10.17485/ijst/2015/v8i24/79996

Cited by 9 publications

(2 citation statements)

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“…The applications of OCR include in banks for processing checks, post offices for processing handwritten addresses, business cards recognitions and office automations for processing all kinds of data entry forms and many more applications. The function of OCR (4) engines is to read handwritten or printed text image and convert it into machine readable and editable form. The images of multiple languages include letters, symbols, numerals, punctuations marks, diacritical marks, broken characters, and text line are easily and efficiently recognized through reading.…”

Section: Introductionmentioning

confidence: 99%

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Multilingual OCR systems for the regional languages in Balochistan

Sanjrani¹

2020

IJST

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Background: There are various languages for which an optical character recognition technology has been developed but most of these address a particular language and thereby multilingual OCR remains a challenge. Methods: Development of multilingual OCR is one of a highly debated issue. Researcher are studying the feasibility and operational feasibility of multilingual OCR from technical as well as from viable aspects. Multilingual OCR includes printed or handwritten characters' form. In this paper, we study the significance, challenges and issues of developing multilingual OCR system for regional language based on Persio-Arabic script by conducting a comprehensive survery about the operational viability of mmultilingual OCR. Findings: A feedback of 339 participants is collected through an online surgery to find the scope and applicability of multilingual OCR. The respondents were from different linguistic background. The study identified that a large majority of participants are willing to use their native language for the accomplishment of their computational task and deemed that the support of multiple languages in a software would increase their productivity. Novelty: In current form, the study addresses the viability of multilingual OCR of regional language based on Persio-Arabic script. To the best of our knowledge, such kind of study has not been conducted for the domain of Pakistan.

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Section: Introductionmentioning

confidence: 99%

“…The OCR technology is used to search, edit, and recognize keywords from the digitized and scanned documents. (4) .…”

Section: Introductionmentioning

confidence: 99%