CURRENNCY RECOGITIONCURRENNCY RECOGITION

07IT101707IT1017 Shilpa DesaleShilpa Desale07IT103207IT1032 Minal BardeMinal Barde

07IT103507IT1035 Akshata GodkarAkshata Godkar07IT219007IT2190 Prachi KalePrachi Kale

Under the guidance of Mrs. Dipti JadhavUnder the guidance of Mrs. Dipti Jadhav

INTRODUCTION:INTRODUCTION:

The aim of this system is to help people who need to recognize different currencies, and work with convenience and efficiency.

This system is based on image processing, techniques which include filtering, edge detection, segmentation, etc.

Theoretical background

Flowchart of the process.

Image format

The image get from scanner is formatted by jpeg, png , bmp.

Currency Region Extraction

The basic distribution of all currencies is similar..

There are also some important characteristics to distinguish the different currencies.

Technical background

In order to recognize the currency, the system should contain the techniques which include:

Image pre-processing

For example::

Histogram equalization To remove the noise on the image

Edge detection

Edge detection is used in image analysis for

finding region boundaries.

SegmentatiSegmentation

It aims to divide an image into parts that have a strong correlation with objects.

Color RGB model

HSV model

Binary image

Binary image is the image that only contains two possible intensity values i.e. 0 and 1.

Gaussian blur

It is an lIt is an low pass filter.

In order to remove noises on the image, Gaussian blur is performed.

Histogram equalization

Histogram equalization is used to adjust contrast based on the image’s histogram.

This allows for areas of lower local contrast to This allows for areas of lower local contrast to gain a higher contrast. gain a higher contrast.

BASIC ALGORITHM

DRAWBACKSDRAWBACKS

The quality of sample the currency, the damage level of the paper currency will affect the recognition rate.

This system still has some limitations, such as the light condition.

Conclusion

This paper proposes an algorithm for recognizing the currency using image processing.

This currency recognition system based on image processing is quite quick and accurate.

THANK YOUTHANK YOU