Security of treasures is as fundamental as their procurement. And these treasures ranges from human lives to costly assets and delicate information which should be compactly secured. Now a days where outfitted burglary has gotten progressively modern especially in creating nations, the
OMR, Thumb Impression and Facial Recognition System for E-testing and Manual testing in Admission Process
| Security of treasures is as fundamental as their procurement. And these treasures ranges from human lives to costly assets and delicate information which should be compactly secured. Now a days where outfitted burglary has gotten progressively modern especially in creating nations, there is the requirement for more tightly security means, and one of the most verified advances that can be utilized is biometrics and finger print lock. For this very purpose this biometrics project focuses on unique finger impression acknowledgement and the methods through which such a system can be implemented in practical scenarios. Fingerprint Sensor: Over the last few centuries or so, people have developed a large number of biometrics devices. Using finger print sensor module GT511C3 optical finger print sensor we can get images of fingerprints that can be further processed by the module using powerful inbuilt ARM cortex M3 IC. Apart from serial communication the module can also be directly interfaced to computer through the USB. Further the data can be transferred to matlab environment for the reason of processing. Face Recognition: The human ability to recognize faces is important to engineer because of the widespread reliance placed on photo I.D. Driver’s licenses, passports and other kinds of identity cards aren’t only used to control entry to computer rooms directly, they are also used to bootstrap most other systems. Yet face recognition is already the second largest selling biometric with a nominal 19% of the market. However, much of this relates to the automated storage of facial images that can be compared by humans. In face recognition, the software will not only detect the face but will also recognize the person. Now, it should be clear that we need to perform face detection before performing face recognition. Also, our project aims to read the fingerprints and thumb impression from hardcopy or page by taking the picture of the page and then processing the picture through matlab. Optical Mark Recognition: Optical Mark Recognition is the process of reading data from specialized forms and storing it into the computer system. The data to be interpreted is in the form of markings such as dashes, dots, ticks, darkened circles, etc. An OMR form is passed through an OMR reader, which identifies the marked areas, extracts the information, and stores it in separate files. Optical Mark Recognition is a technology that uses a special device called Optical Mark Reader to detect the presence or absence of marks on a specially printed paper called OMR form. This technology is usually used if bulks of data, especially answers to MCQ (Multiple Choice Questions), are to be gathered and processed in a short period of time. For instance, when the answer sheets of competitive exams held on a larger scale, need to be a evaluated within a few days’ time, OMR technology comes to help. How OMR Scanner Works:
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Security of treasures is as fundamental as their procurement. And these treasures ranges from human lives to costly assets and delicate information which should be compactly secured. Now a days where outfitted burglary has gotten progressively modern especially in creating nations, there is the requirement for more tightly security means, and one of the most verified advances that can be utilized is biometrics and finger print lock. For this very purpose this biometrics project focuses on unique finger impression acknowledgement and the methods through which such a system can be implemented in practical scenarios.
Fingerprint Sensor:
Over the last few centuries or so, people have developed a large number of biometrics devices. Using finger print sensor module GT511C3 optical finger print sensor we can get images of fingerprints that can be further processed by the module using powerful inbuilt ARM cortex M3 IC. Apart from serial communication the module can also be directly interfaced to computer through the USB. Further the data can be transferred to matlab environment for the reason of processing.
Face Recognition:
The human ability to recognize faces is important to engineer because of the widespread reliance placed on photo I.D. Driver’s licenses, passports and other kinds of identity cards aren’t only used to control entry to computer rooms directly, they are also used to bootstrap most other systems.
Yet face recognition is already the second largest selling biometric with a nominal 19% of the market. However, much of this relates to the automated storage of facial images that can be compared by humans. In face recognition, the software will not only detect the face but will also recognize the person. Now, it should be clear that we need to perform face detection before performing face recognition.
Also, our project aims to read the fingerprints and thumb impression from hardcopy or page by taking the picture of the page and then processing the picture through matlab.
Optical Mark Recognition:
Optical Mark Recognition is the process of reading data from specialized forms and storing it into the computer system. The data to be interpreted is in the form of markings such as dashes, dots, ticks, darkened circles, etc. An OMR form is passed through an OMR reader, which identifies the marked areas, extracts the information, and stores it in separate files. Optical Mark Recognition is a technology that uses a special device called Optical Mark Reader to detect the presence or absence of marks on a specially printed paper called OMR form. This technology is usually used if bulks of data, especially answers to MCQ (Multiple Choice Questions), are to be gathered and processed in a short period of time. For instance, when the answer sheets of competitive exams held on a larger scale, need to be a evaluated within a few days’ time, OMR technology comes to help.
How OMR Scanner Works:
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This project will directly benefit the followings;
2- Finge prints and face recognition techniques are used by a government agency that regulates government databases and statistically manages the sensitive registration database of all the national citizens of the country.
3-These devices can be used in secure and sensitive places where security is utmost importance.
4- Checking of Admission entry test sheets take lot of time and this time can be reduced via OMR scanning technique.
2- Fingerprints and face recognition techniques are used by the government agency that regulates government databases and statistically manages the sensitive registration database of all the national citizens of the country.
3- These devices can be used in secure and sensitive places where security is the utmost importance.
4- Checking of Admission entry test sheets take a lot of time and this time can be reduced via OMR scanning technique.
5- Our Project will be guarantee transparency in the admission process in institutions across our country
6 -Our project will be able to detect bugs and can carter tempering acts which will be viable in enabling deserving candidates to be part of institutions
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