Palm‐Print Pattern Matching Based on Features Using Rabin‐Karp for Person Identification

Kanchana, S.; Balakrishnan, G.

doi:10.1155/2015/382697

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…Kanchana and Balakrishnan [80] proposed a method of Rabin-Karp Palm-Print Pattern Matching (RPPM) to improve the matching accuracy of the palmprint features by using the double hash in RPPM. Ali et al [25] used a hybrid approach for palmprint identification, by using various algorithms such as local binary pattern (LBP), two-dimensional localized preserving projection (2DLPP) and the fusion of LBP + 2DLPP.…”

Section: B Review Based Contactless Palmprint Databasementioning

confidence: 99%

The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review

Hussein¹,

Sahibuddin²,

Sjarif³

2018

ijacsa

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Biometric system can be defined as the automated method of identifying or authenticating the identity of a living person based on physiological or behavioral traits. Palmprint biometric-based authentication has gained considerable attention in recent years. Globally, enterprises have been exploring biometric authorization for some time, for the purpose of security, payment processing, law enforcement CCTV systems, and even access to offices, buildings, and gyms via the entry doors. Palmprint biometric system can be divided into unimodal and multimodal. This paper will investigate the biometric system and provide a detailed overview of the palmprint technology with existing recognition approaches. Finally, we introduce a review of previous works based on a unimodal palmprint system using different databases.

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Section: B Review Based Contactless Palmprint Databasementioning

confidence: 99%

The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review

Hussein¹,

Sahibuddin²,

Sjarif³

2018

ijacsa

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“…That previously mentioned research has determined which K-gram will be used but the explanation of the reasons for the selection of the k values has not been widely explained. Rabin Karp's algorithm can be used for image or pattern matching, such as fingerprint matching [16]. Rabin Karp also has better performance than other algorithms in the case of semantic-based documents [17] and requires shorter time [18].…”

Section: Introductionmentioning

confidence: 99%

An arrangement of the number of K-grams in the performance of Rabin Karp algorithm in text adjustment

Astuti

Wulandari

2022

IJEECS

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Rabin Karp algorithm is frequently used to determine the similarity between texts, using the hash function to compare the string identified and the substring in the text. The choice of the k value in the K-gram is often unrestricted. The number of k values used when cutting some terms will take longer if tried one by one. This research will perform a word cutting test on a script using K-gram 0 to 8. The results will cover the effect of the value of each K used on the similarity percentage produced. This research aims to determine the effect of the number of K-grams on the performance of Rabin Karp in text matching. The test underwent 20 sentences and 10 times using the dice coefficient for text similarity testing. The conclusion of this research should not use the K-gram 0 to 2 due to the K-gram basic principle: character deduction. Subsequently, if the character is 0,1,2, it does not have a meaning yet; thus, it gets a high similarity percentage. Based on trials by taking samples of K-gram 0 to 8 from 10 test data sets; the K-gram 3 is the best among K-grams 0 to 8.

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“…2,3 Recent advances have led to biometric examination of people for identification, some of which rely on finger prints and palm prints can be used for the same. [4][5][6][7] Pattern of palm creases can give clues to underlying clinical conditions including dental conditions and chromosomal aberrations. [8][9][10][11][12][13][14][15][16] Palm prints also serve as surface markings to deeper structures in the hand.…”

Section: Introductionmentioning

confidence: 99%

Palm Creases Analysis in Students and Staff of a Teaching Hospital in Kathmandu

Ranjit

Adhikari

Shrestha

et al. 2019

Med. J. Shree Birendra Hosp.

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Introduction: Palm creases have been studied for a long time and have been recently found to be helpful in tracking underlying medical and genetic conditions. Scientific study and typing of palm prints have been found to be lacking in the Nepalese population Methods: A cross sectional study was done on 252 subjects, 153 male and 99 females, from Kathmandu, Nepal. Subjects were selected by purposive sampling from different age groups. Demographic profile including age, sex, and handedness was collected. Palm print pattern was recorded by digital photography. Each photograph was analysed visually by single observer and pattern of palm crease was noted. Variation of each crease was also noted. Results: On the basis of relation between radial longitudinal crease and proximal transverse crease, 17.3% subjects had open type of palm crease which was significantly more in females while 76.6% subjects had closed type crease which was significantly more in males. Meeting type of palm crease was found in 5.7% of subjects. On the basis of relation between proximal and distal transverse crease, normal crease type was found in 90.1% of subjects, Simian type was found in 7.7% subjects and Sydney type was found in 1.4% of subjects. The concordance of this pattern in left and right palms was found statistically significant. Conclusions: This study presented data from 252 seemingly normal healthy subjects and found that most of them had the normal with no branching, that is normal 1 and closed crease types. Most of the individual major creases were seen to be branched type.

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Palm‐Print Pattern Matching Based on Features Using Rabin‐Karp for Person Identification

Cited by 6 publications

References 19 publications

The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review

The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review

An arrangement of the number of K-grams in the performance of Rabin Karp algorithm in text adjustment

Palm Creases Analysis in Students and Staff of a Teaching Hospital in Kathmandu

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