Optical character recognition in off-line handwritten recognition system to improve data encoding efficiency

Date of Publication

2012

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Edwin Sybingco

Defense Panel Chair

Elmer R. Magsino

Defense Panel Member

Alexander C. Abad
Cesar A. Llorente

Abstract/Summary

This research project aims to provide a faster and a more efficient encoding of daily time records (DTRs of employees. The encoding of DTRs is usually done manually by companies which takes a lot of work and time. So the group comes up with an alternative way to encode these DTRs. The group designed an application that will translate the DTRs to an editable text format. This is done by using a scanner to convert the DTRs to image files afterwards, an Optical Character Recognition (OCR) software, to translate the image files to an editable text file. All the character translation processes are done automatically without proofreading.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU16870

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

132 leaves: ill.(some col.) 28 cm

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