An improved O'Gorman filter for fingerprint image enhancement

Patel, M. P.; Patel, Ronak B.; Parikh, Satyen M.; Patel, Ashok R.

doi:10.1109/icecds.2017.8389784

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…Patel et al [33] enhanced O' Gorman filter to address minutiae points' extraction problem. The result achieved mean square error (MSE) and peak signal to noise ratio (PSNR) of 6% and 39% respectively.…”

Section: 1results Of Fingerprint Biometric Authenticationmentioning

confidence: 99%

A survey of biometric approaches of authentication

Yusuf¹,

Marafa²,

Shehu³

et al. 2020

IJACR

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Information security refers to a means of preventing unauthorized users from access to information. Risk management usually adopts in information security to provide solutions to security challenges by minimizing risks.Risk can be minimized by administrative control and defense mechanisms. Access control can also enforce the user right access and thereby minimizing risks. Authentication is one of the techniques used in access control systems to protect unauthorized access. Many approaches for authentication have been proposed to address security challenges. These approaches have a conflict with the system usability and therefore required the modification of tradition password techniques for better solutions. Information Authentication is the common method used by security experts to verify the users' identities before getting access right into the system. Access controls are enforced for all users, irrespective of categories they belong. Traditional authentication methods [1] were enough to protect the unauthorized access right as many security breaches were reported. Therefore, advanced security methods that are based on human features required.

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Section: 1results Of Fingerprint Biometric Authenticationmentioning

confidence: 99%

A survey of biometric approaches of authentication

Yusuf¹,

Marafa²,

Shehu³

et al. 2020

IJACR

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“…• In past, our works were done on Fingerprint Recognition. Many different algorithms proposed for Pre-Processing [35][36][37][38][39][40][41] and Post-Processing [42][43][44] and improved the accuracy for recognition. Now, in future work applied those algorithms to different phases of handwritten character recognition and check the feasibility of improving the accuracy.…”

Section: Future Workmentioning

confidence: 99%

Comparative Study of Handwritten Character Recognition System for Indian Languages

Patel

Parikh

Patel

2021

ICT With Intelligent Applications

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Handwritten Character Recognition is the emerging domain for the research in image processing and pattern recognition because a huge amount of handwritten and OCR documents need to be processed in daily needs of different systems. Based on surveys of Human Development very less amount of Indian population can write and read English language. It specifies the need for research in Indian script for OCR technology. The research in this area is actually needed for developing countries such as India and remains beneficial to inspire the human-machine interface system. HCR makes it ease the automatic processing of tax and admission forms, bank cheques, addresses and postal codes. In the comparison of printed character recognition, handwritten character recognition is difficult because it can be different from person to person based on the style of writing, curve, size, strokes and thickness of character. Sufficient research work has been performed in foreign handwritten characters such as Arabic, Chinese and Japanese but very less research work has been performed in Indian scripts. This paper provides a comparative study of famous and well-known Tamil, Telugu, Kannada and Gujarati Indian scripts. This paper provides a detailed study based on the used methodology, dataset and accuracy.

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