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Developer Image Processing

Location:
India
Posted:
April 16, 2015

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Resume:

MATLAB PROGRAMMER IN IMAGE PROCESSING

K r ishna moorthy S

M obile:

No.6A/14, sri r angaraja vedhi,

#979*******

Little kanchipuram, E ma i l :

k r isshnabrt@gmai l.com

Kanchipuram-3

JOB OBJECT I VE

• Seeking to join a reputed organization as a MATLAB Programmer to deliver the best

of my professional ability.

E XECUT I V E SYNOPSIS

• A professional with 0 years and 11 months(around 1 year ) of experience in

M -scripting on image processing and Modeling based applications.

• Experience in M ATLAB / Simulink, M -scripting & GU I Environment .

• An Efficient Algorithm Development using M-script and Simulink .

• Excellent ability to perform programming, debugging, data analysis and

system analysis

• Strong technical analysis and t roubleshooting capabilities

T EC H N ICAL SKI L LS

D omain Knowledge : Digital Image processing.

Development Tools : M-Scripting, MAT LAB / Simulink, GUI.

Languages : C, C++

Specialization : Image Processing, Computer Vision, Fuzzy Inference system,

M ATLAB coder, Simulink, GUI, opencv 2.4.9

PROFESSIONAL EXPER I ENCE

• Currently working as a M ATLAB developer i n Spiro Solutions P rivate Ltd i n

Chennai, from j une,2014 t o p resent

PROJECTS

1. SECURED BIOMETRIC AUTHENTICATION BANKING

Role: Team member Team Size: 4

Technical Environment: Matlab7.14, Image Processing toolbox, GUI

DESCR IPT ION :

In the biometric recognition so many types of fake authentication have been used to

u nlock the system, in order to reduce the fake authentication and to make the biometric

more secure we make an algorithm to find the real person authentication based on Digital

I mage processing for secured banking.

2. LUNG NODULE DIAGNOSIS IN THE CT SCAN

Role: Team member Team Size: 4

Technical Environment: Matlab7.14, Image Processing toolbox, GUI

D ESCR IPT ION :

There are several clinical systems involved to diagnosis the lung cancer in human.

B ut there are several disadvantage to find the cancer earlier stage by physicians.it takes too

t ime to find a lung nodules in the scan report. Such an annotations must be found with

reliable and faster manner is requiring that the assessment of classifying lung nodule using

D igital Image Processing is also reliable and faster. Diagnosis of lung nodule is well known

i n Computer based analysis by Image Processing. Those types’ classifications are important

for cancer specialist for assessing t reatments and to companies who want to improve their

t reatments.

E DUCAT IO N

Bachelor’s Degree in e lectronics and communication engineering, Dhaanish Ahmed

College of Engineering, Chennai, India .

Available for Relocation

Declaration

I hereby declare that the above written particulars are true to the best of my knowledge and

belief.

Date : Yours

F aithfully,

Place : Chennai. krishnamoorthy.S



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