Barcode
SEMINAR PRESENTATION
ON
BARCODE
BY
ASELEBE MICHAEL OLUWASEGUN
HND/11/COM/202
ARTMENT OF COMPUTER SCIENCE,
INSTITUTE OF BASIC AND APPLIED SCIENCE
KWARA STATE POLYTECNIC, ILORIN.
IN PARTIAL FULFILMENT OF THE REQUIREMENT FOR THE AWARD OF HIGHER NATIONAL DIPLOMA IN COMPUTER SICENCE
ABSTRACT
This study focuses on barcode recognition from images of barcode stamped products, acquired by different cameras. First step in recognition of barcode data is achieving barcode localization. For this purpose, a Fast Hough Transform Approximation has been developed. With this method, barcode localization and the angular orientation of the barcode is obtained. In order to decipher barcode data, the scan line obtained by barcode localization and angular orientation information are used. However, the image resolution has to be good enough so that the bar code data could be read properly. In this work, image quality is improved with methods of B-Spline Smoothing and super-resolution techniques. Later, barcode data is deciphered via match filtering. The proposed barcode reading system is tested and results are discussed.
INTRODUCTION:
BARCODE is a method of automatic identification & data collection, also known as the “Universal Product Code” (UPC). BARCODE is use the Binary System for coding & decoding. It has the series of bars & space representing alpha numeric information. Each bar represent “1” & space represent “0”. Barcodes are very popular and are seen on almost every consumer products.
Barcodes provide reliable data string and quick input into a computer system. In this manner, price and product description can be obtained very fast.
Example of the bar code from a 1.5-liter bottle of Diet Coke
[pic]
AIM AND OBJECTIVES OF BARCODE
The Aim is to acquire a barcode scanner system to streamline and improve an outdated seized
ON
BARCODE
BY
ASELEBE MICHAEL OLUWASEGUN
HND/11/COM/202
ARTMENT OF COMPUTER SCIENCE,
INSTITUTE OF BASIC AND APPLIED SCIENCE
KWARA STATE POLYTECNIC, ILORIN.
IN PARTIAL FULFILMENT OF THE REQUIREMENT FOR THE AWARD OF HIGHER NATIONAL DIPLOMA IN COMPUTER SICENCE
ABSTRACT
This study focuses on barcode recognition from images of barcode stamped products, acquired by different cameras. First step in recognition of barcode data is achieving barcode localization. For this purpose, a Fast Hough Transform Approximation has been developed. With this method, barcode localization and the angular orientation of the barcode is obtained. In order to decipher barcode data, the scan line obtained by barcode localization and angular orientation information are used. However, the image resolution has to be good enough so that the bar code data could be read properly. In this work, image quality is improved with methods of B-Spline Smoothing and super-resolution techniques. Later, barcode data is deciphered via match filtering. The proposed barcode reading system is tested and results are discussed.
INTRODUCTION:
BARCODE is a method of automatic identification & data collection, also known as the “Universal Product Code” (UPC). BARCODE is use the Binary System for coding & decoding. It has the series of bars & space representing alpha numeric information. Each bar represent “1” & space represent “0”. Barcodes are very popular and are seen on almost every consumer products.
Barcodes provide reliable data string and quick input into a computer system. In this manner, price and product description can be obtained very fast.
Example of the bar code from a 1.5-liter bottle of Diet Coke
[pic]
AIM AND OBJECTIVES OF BARCODE
The Aim is to acquire a barcode scanner system to streamline and improve an outdated seized
References: • http://www.managementsupport.com/barcode.htm • http://en.wikipedia.org/wiki/barcode • http://www.satoeurope.com/en/about/barcode.html