An excellent system in palmprint recognition

Kusban, Muhammad; Budiman, Aris; Hari, Pragya

doi:10.1088/1757-899x/403/1/012037

Cited by 3 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To boost recognition accuracy, the hybrid technique integrates holistic and local feature-based features. [46], [77]. Numerous palmprint approaches for extracting and matching features have been proposed due to the increased interest in low-resolution palmprint recognition.…”

Section: Palmprint Feature Extraction Methodsmentioning

confidence: 99%

“…Cultural Resistance: In some countries, there is resistance to placing hands-on devices touched by the opposite sex users [46]. Contactless palmprint recognition systems: This method acquires images in a less-constrained manner.…”

Section: Contact-based Palmprint Recognition Systemsmentioning

confidence: 99%

“…Palm images binarization/hand and or fingers contour extraction: Palm Images binarization and hand/or fingers contour extraction and hand and or fingers contour extraction. There is a similarity in all preprocessing algorithms [9], [25], [28], [32], [48], [60], [68], [69] (b) Bisector-based approach: It builds lines using two points finger boundaries of gravity, and the midpoint of its starting point and endpoints with intersection considered a critical point [2], [22], [46], [51], [73], [74].…”

Section: Lowquality Imagesmentioning

confidence: 99%

See 2 more Smart Citations

Contactless Palmprint Recognition System: A Survey

et al. 2022

View full text Add to dashboard Cite

Information systems in organizations traditionally require users to remember their secret pins (password), token, card number, or both to confirm their identities. However, the technological trend has been moving towards personal identification based on individual behavioural attributes (such as gaits, signature, and voice) or physiological (such as palmprint, fingerprint, face, iris, or ear). These attributes (biometrics) offer many advantages over knowledge and possession-based approaches. For example, palmprint images have rich, unique features for reliable human identification, and it has received significant attention due to their stability, reliability, uniqueness, and non-intrusiveness. This paper provides an overview and evaluation of contactless palmprint recognition system, the state-of-the-art performance of existing works, different types of "Region of Interest" (ROI) extraction algorithms, feature extraction, and matching algorithms. Finally, the findings obtained are presented and discussed.INDEX TERMS biometrics, information system, palmprint images, region of interest

show abstract

Section: Palmprint Feature Extraction Methodsmentioning

confidence: 99%

Section: Contact-based Palmprint Recognition Systemsmentioning

confidence: 99%

Section: Lowquality Imagesmentioning

confidence: 99%

See 1 more Smart Citation

Contactless Palmprint Recognition System: A Survey

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The linear type has a difficult disadvantage of visually representing the object data in a graph and especially when using big data. In this work we used Kernel Principal Component Analysis (KPCA) as a reduction technique, which is a non-linear projection method and it is successfully used in biometrics [50,51,52]. This approach has proven its great capacity for reducing space and its good discriminating quality compared to the other approach.…”

Section: B Feature Extraction and Classificationmentioning

confidence: 99%

“…Counteracting insecurity and external threat, several techniques have been developed. In this context, biometric recognition by multi-spectral palmprint has emerged as a very attractive alternative [8,9,10,11 ]. In addition, palmprints have the characteristics of stability, uniqueness and scalability, etc.…”

Section: Introductionmentioning

confidence: 99%

Improving Palmprint based Biometric System Performance using Novel Multispectral Image Fusion Scheme

Thamri¹,

Aloui²,

Naceur³

2020

IJACSA

View full text Add to dashboard Cite

Nowadays, there are several identification systems which are based on different biometric modalities. In particular, multispectral images of palmprints captured in different spectral bands have a very distinctive biometric identifier. This paper proposes a novel fusion scheme of a biometric recognition system by multiSpectral palmprint. This system is composed of three blocks: (1) extraction of the region of interest (ROI) from multispectral images, (2) a new image fusion architecture based on the measurement of decorrelation, and (3) a scheme of dimension reduction and classification. The proposed image fusion system combines the information from the same left and right spectral band using the 2D discrete wavelet (DWT) transform technique. In addition, a feature extraction using the Log-Gabor transform is performed, while the feature size has been reduced using the Kernel Principal Component Analysis technique (KPCA). In Our experiments we use CASIA multispectral palmprint database. We obtained an accuracy rate (ACC) of 99.50% for the spectral bands WHT (white light) and 940 nm and an equal error rate EER = 0.05%.These results show that our system is robust against spoofing.

show abstract

Game Edukasi Pengenalan Alat Transportasi untuk Anak Tunagrahita

Aziz

Irsyadi

2021

emitor

View full text Add to dashboard Cite

Pendidikan merupakan salah satu aspek kehidupan yang penting. Terlebih untuk anak berkebutuhan khusus, dimana harus memerlukan cara penyampaian materi yang berbeda dari anak yang normal. Game edukasi dapat menjadi salah satu solusi untuk mempermudah penyampaian materi. Khususnya untuk pembelajaran pengenalan alat transportasi. Sebelumnya proses penyampaian materi tentang alat transportasi ini disampaikan hanya menggunakan buku. Cara tersebut membuat siswa cepat jenuh dan kurang tertarik dalam hal mempelajari materi ini sehingga materi susah diterima. Dengan alasan tersebut maka diperlukan media pembelajaran yang menarik berbentuk game edukasi. Melalui game edukasi ini diharapkan dapat mempermudah pemahaman siswa tunagrahita terhadap alat transportasi. Terlebih lagi game edukasi ini memiliki tampilan dan suara yang lebih menarik bagi siswa dibandingkan dengan penyampaian menggunakan buku bergambar yang cepat membuat jenuh dan penyampaian materi yang dilakukan berulang-ulang. Game ini dibuat menggunakan Construct 2 yang merupakan aplikasi utama dan menggunakan metode yang melalui beberapa tahapan yaitu analisis kebutuhan berupa observasi dan wawancara, pengumpulan data dan pengujian. Pembuatan game ini bertujuan untuk mempermudah pemahaman materi untuk siswa dengan metode pembelajaran yang lebih menarik. Hasil yang diharapkan dari penelitian ini yaitu game dapat diterima dengan baik oleh pengguna dan memiliki kualitas yang baik sehingga dapat membantu proses pembelajaran dengan lebih interaktif dan menyenangkan.

show abstract

An excellent system in palmprint recognition

Cited by 3 publications

References 10 publications

Contactless Palmprint Recognition System: A Survey

Contactless Palmprint Recognition System: A Survey

Improving Palmprint based Biometric System Performance using Novel Multispectral Image Fusion Scheme

Game Edukasi Pengenalan Alat Transportasi untuk Anak Tunagrahita

Contact Info

Product

Resources

About