Fake Indian Currency Detection Using Camera Matlab Code

Posted By admin  On 17.08.21

  • The Reserve Bank is the one which issue bank notes in India. Reserve Bank, changes the design of bank notes from time to time. Reserve bank uses several techniques to detect fake currency. Common people faces many problems for the fake currency circulation and also difficult to detect fake currency, suppose that a common people went to a bank.
  • This paper presents the various fake currency detection techniques. Fake currency is imitation currency produced without the legal sanction of the state or government. Producing or using fake currency is a form of fraud or forgery. Over the past few years, as a result of the. Indian currency detection and denomination using SIFT free download.
  • Currency Recognition Image Processing Projects offer eye-catching environs, where you can get the novel idea and creative plan from our experts. Currency recognition is a core part of entities where cash exchange often takes place to permit the client’s bits and bobs. It is far and wide use to find the acting up in currency swap over.

Download MATLAB source codes

This MATLAB section of source code covers signal processing, image processing MATLAB source codes.It include FIR, IIR, scrambler, interleaver, FFT, convolution, correlation, interpolation, decimation, CRC, impairments, data type conversions and more.RS encoder, convolutional encoder, viterbi decoder, OFDM, OFDMA, MIMO is also covered. WiMAX, WLAN, LTE source codes are also provided.

Scrambler and Descrambler code

Refer Scrambler descrambler for design of scrambler and descrambler as per IEEE 802.16-2004 wimax standard specifications.

Interleaver and Deinterleaver

However, once a fake image has been detected, we must determine the forged area in that image. Localization of spliced area in a fake image will be the topic of next post. The whole code for this part can be found here. That’s it for this post. Do let me know other good techniques to detect fake images in the comments section.

Refer Interleaver deinterleaver as per equation defined in wimax standard.

BPSK,QPSK,16QAM and 64QAM Data Mapping

Refer Data Modulation page for BPSK, QPSK, 16QAM and 64QAM modulation matlab source code.

16 Point Decimation in Frequency FFT MATLAB code

Refer 16point IFFT
code very useful for IFFT implementation from scratch very useful for understanding the concept.

Correlation-Auto,Cross

Refer correlation
code very useful for understanding autocorrelation and cross correlation concepts.It also provides comparison with matlab built in functions.

Convolution

Refer convolution
matlab source code and compares the same with matlab built in function.

Interpolation or Up sampling

Refer Interpolation which is used for upsampling digital samples to the desired sampling rate.

Decimation or Down sampling

Refer Decimation which is used for downsampling digital samples to the desired sampling rate.

Convolutional Encoder and Viterbi decoder

Refer Convolutional Encoder and viterbi decoder with the specifications defined.
Generator Polynomials: 25 (8), 33 (8), 37 (8)
no. of memory elements = 4

FIR filter

Refer FIR Filter which covers FIR digital filter matlab source code.It describes FIR filter as per rectangular,Bartlett,Blackman,Chebyshev,Hamming and Hanning window types.

IIR Filter

Refer IIR Filter BUTTERWORTH digital low pass filter.

Using

Low Pass FIR Filter

Refer Low Pass FIR using firrcos function and matlab FDA tool.

CRC8 and CRC32 generation

Refer CRC Generation code as per CRC8 and CRC32 polynomials.


OFDM basic transmitter and receiver


Basic OFDM Transmitter and receiver MATLAB Code➤➤

Reed Solomon Encoder

Fake Indian Currency Detection Using Camera Matlab Code Pdf

Refer RS Encoder as per wimax specifications.

CTC Encoder matlab source code

Refer CTC Encoder matlab source code.

MIMO STBC 2T1R and 2T2R

Refer MIMO code as per 2x1 and 2x2 STBC MIMO configurations.

WLAN OFDM physical layer

Refer WLAN OFDM PHY page which explains and provide link for OFDM physical layer as per WLAN 802.11a standard.

WiMAX OFDM Physical layer

Refer WiMAX OFDM PHY page which explains and provide link for wimax physical layer blocks and matlab source code.

LTE source codes

Refer LTE simulators page to refer LTE source codes written in MATLAB.

IRIS Edge detection

Refer IRIS Detection matlab code.

OFDMA basic transmitter and receiver

Refer OFDMA Tx Rx code as per OFDMA specifications.

AES and DES encryption and decryption

AES DES

Carrier aggregation concept with OFDM example

Refer carrier aggregation matlab source code with basic block diagram.

CCDF matlab source code

Refer CCDF code useful for plotting CCDF curve in PAPR analysis.

Text based data compression(Huffman,RLE,Arithmetic coding,LZW)

Refer Data Compression code which mention basics of Huffman,RLE,Arithmetic coding,LZW techniques and provide link to download matlab code.

DWT based Image compression

Refer DWT image Compression code which mentionfour basic steps for image compression. It is haar based transform algorithm with threshold detection(soft and hard).It mentions RLE data compression for further reducing the image data.

Edge detection

Refer Edge Detection matlab source code.

PTS Algorithm for PAPR Reduction

Refer PTS Algorithm for PAPR reduction.

OFDM based Preamble generation

Refer preamble generation for OFDM systems such as WLAN,WiMAX and LDACS etc.

Time offset estimation and correction algorithm for OFDM using preamble

Refer Time offset estimationa and correction algorithmfor OFDM system.This preamble is used in LDACS system for aeronautical communication between AS (Aircraft Station) and GS (Ground Station).

Frequency offset estimation and correction for OFDM

Refer Frequency offset estimation and correction algorithm for OFDM system.

CDMA MATLAB code for single user

Fake Indian Currency Detection Using Camera Matlab Code Download

Refer CDMA MATLAB Code for single user.

OFCDM MATLAB code consisting of OFDM and CDMA chain for single user

Refer OFCDM MATLAB Code housing OFDM and CDMA.The code is simulated for a single user.

SC-FDMA basic transmitter receiver

Fake Indian Currency Detection Using Camera Matlab Code Free

Refer SC-FDMA matlab simulation code.

PN sequence generation

Refer PN sequence generation basics and matlab code.

Useful Links to MATLAB codes

Refer following as well as links mentioned on left side panel for useful MATLAB codes.
PTS for PAPR reductionOFDM Preamble generationTime off estimation corrFreq off estimation corrchannel estimation11a WLAN channel11g WLAN channelIIR Filter
Low Pass FIR
Viterbi decoder
CRC8 CRC32
AM FM PM modulation

Channel Model MATLAB codes

Fake Indian Currency Detection Using Camera Matlab Code Online

11a WLAN channel
11g WLAN channel
15.3 UWB channel
15.4a UWB channel
16d SUI Channel
16e wimax channel
Rician channel
Rayleigh channel

RF and Wireless tutorials


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With just a few lines of MATLAB® code, you can build machine learning and deep learning models for object recognition without having to be an expert.

Using MATLAB for object recognition enables you to be successful in less time because it lets you:

  1. Use your domain expertise and learn data science with MATLAB:

    You can use MATLAB to learn and gain expertise in the areas of machine learning and deep learning. MATLAB makes learning about these fields practical and accessible. In addition, MATLAB enables domain experts to create object recognition models – instead of handing the task over to data scientists who may not know your industry or application.

  2. Use apps to label data and build models:

    MATLAB lets you build machine learning and deep learning models with minimal code.

    With the Classification Learner app, you can quickly build machine learning models and compare different machine learning algorithms without writing code.

    Using the Image Labeler app, you can interactively label objects within images and automate ground truth labeling within videos for training and testing deep learning models. This interactive and automated approach can lead to better results in less time.

  3. Integrate object recognition in a single workflow:

    MATLAB can unify multiple domains in a single workflow. With MATLAB, you can do your thinking and programming in one environment. It offers tools and functions for deep learning and machine learning, and also for a range of domains that feed into these algorithms, such as robotics, computer vision, and data analytics.

MATLAB automates deploying your models on enterprise systems, clusters, clouds, and embedded devices.