Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data

Bartunek, Josef Ström; Nilsson, Mikael; Sällberg, Benny; Claesson, Ingvar

doi:10.1109/tip.2012.2220373

Cited by 68 publications

(35 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2.6 Joset StromBarturek,Mikael Nilsson [7] proposed on the term of adaptive implies that parameter of the approach are automatically adjusted based on the input finger print image, five process block compare the adaptive fingerprint where four are updated in our proposed system. The proposed overall is novel four blocks.…”

Section: Nazera Khalil Dakhil Hind Rostam Mohamed and Noora Alimentioning

confidence: 99%

E-Cupboard System: Review on Digital License Generation using Fingerprint Authentication

Kelgandre¹,

Bagul²,

Khairnar³

et al. 2017

IJCA

View full text Add to dashboard Cite

To issue driving license is a very tedious task for the government to monitor. While driving, it is very difficult task to carry all documents which required for driving purpose. Ecupboard is RTO document checking using fingerprint authentication web based system. Our system has User (requesting driving license) login, admin login and Traffic police login type. To check documents traffic police will take fingerprint, ADHAR card number as input. It will open profile of user which include issued document list. The list have document list which can be viewed by traffic police. If driver doesn't have valid document then automatically fine/penalty will be generated according to rules. On the other side RTO office have all digital document which have stored in centralized database. If person wants to generate his license then he should submit all required information, document and fingerprint on E-cupboard System. Then E-cupboard System issue digitalized license and digital image of fingerprint which is stored in centralized database. Same process is used to generate smart card and RC book.

show abstract

Section: Nazera Khalil Dakhil Hind Rostam Mohamed and Noora Alimentioning

confidence: 99%

E-Cupboard System: Review on Digital License Generation using Fingerprint Authentication

Kelgandre¹,

Bagul²,

Khairnar³

et al. 2017

IJCA

View full text Add to dashboard Cite

show abstract

“…Joseph Storm Bartunek, et al, [13] proposed adaptive fingerprint image enhancement with stress on the preprocessing of data. It is based on contextual filtering and it adjusts the filtering parameters based on the input image.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Fingerprint Image Enhancement using Gabor Filtering with Different Orientation Field Values

Pakutharivu

Srinath

2017

IJEECS

View full text Add to dashboard Cite

show abstract

“…Hailong Jia and Kun Cao [8] came up with a FI enhancement procedure with directional segmentation, histogram, Gabor filtering and, binarization and thinning. With a special focus on preprocessing of data at both local and global levels, spatial contextual filtering is suggested using matched directional filters [9]. And, Non-linear Successive Mean Quantization Transform (SMQT) method is used to adjust dynamic range.…”

Section: Related Workmentioning

confidence: 99%

Enhancement of Latent Fingerprint Images with Segmentation Perspective

Baig

Huqqani

Khurshid

2015

2015 11th International Conference on Signal-Image Technology &Amp; Internet-Based Systems (SITIS)

View full text Add to dashboard Cite

Latent fingerprints are of decisive influence when it comes to identifying suspects; as these are usually encountered at crime scenes. Also, these serve as a compelling evidence in a court of law. Some of the formidable challenges with latent fingerprints are deficient ridge information and poor ridge clarity due to background noise and non-linear distortions. An effective fingerprint enhancement scheme is suggested to meliorate the clarity and continuity of ridges and valleys in a latent fingerprint image. The proposed method deals with both local (minutia or singular points; ridge termination, bifurcation, broken ridges, short ridges, core and delta) and global features (ridge orientation and ridge frequency), while retaining the true ridge-valley structures and removing noise at the same time. The proposed design establishes scalability, accessibility and flexibility.

show abstract

Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data

Cited by 68 publications

References 23 publications

E-Cupboard System: Review on Digital License Generation using Fingerprint Authentication

E-Cupboard System: Review on Digital License Generation using Fingerprint Authentication

Analysis of Fingerprint Image Enhancement using Gabor Filtering with Different Orientation Field Values

Enhancement of Latent Fingerprint Images with Segmentation Perspective

Contact Info

Product

Resources

About