Dual-tree Complex Wavelet Transform based Local Binary Pattern Weighted Histogram Method for Palmprint Recognition

In the paper, we improve the Local Binary Pattern Histogram (LBPH) approach and combine it with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a Dual-Tree Complex Wavelet Transform based Local Binary Pattern Weighted Histogram (DT-CWT based LBPWH) method for palmprint representation and recognition. The approximate shift invariant property of the DT-CWT and its good directional selectively in 2D make it a very appealing choice for palmprint representation. LBPH is a powerful texture description method, which considers both shape and texture information to represent an image. To enhance the representation capability of LBPH, a weight set is computed and assigned to the finial feature histogram. Here we needn't construct a palmprint model by a train sample set, which is not like some methods based on subspace discriminant analysis or statistical learning. In the approach, a palmprint image is first decomposed into multiple subbands by using DT-CWT. After that, each subband in complex wavelet domain is divided into non-overlapping sub-regions. Then LBPHs are extracted from each sub-region in each subband, and lastly, all of LBPHs are weighted and concatenated into a single feature histogram to effectively represent the palmprint image. A Chi square distance is used to measure the similarity of different feature histograms and the finial recognition is performed by the nearest neighborhood classifier. A group of optimal parameters is chosen by 20 verification tests on our palmprint database. In addition, the recognition results on our palmprint database and the database from the Hong Kong Polytechnic University show the proposed method outperforms other methods

Detection of humidity-treated aged latent prints using cyanoacrylate fuming and a reflected ultraviolet imaging system (RUVIS)

For the past several decades, challenges in the detection and collection of latent prints exposed to harsh environmental conditions have inspired research in pretreatment methods prior to the application of chemical, physical, or optical-based enhancement techniques. Some of the difficulties associated with processing degraded latent prints are attributed to dehydration, alterations in chemical composition, and physical disturbance of ridge detail. This study seeks to investigate the effectiveness of humidity, cyanoacrylate fuming method (CFM), and a reflected ultraviolet imaging system (RUVIS) on the detection and collection of aged latent palmprints. Prints were exposed to air flow and ultraviolet (UV) light for a period of 0 to 28 days, and subsequently treated with either cool or warm humidity and CFM. RUVIS was then utilized to detect and capture friction ridge detail after each treatment step. Improvements in RUVIS detection between treatments were evaluated based on four response factors: minutiae count, percent print recovery, ridge thickness and contrast. By measuring these factors, each latent print photograph was able to be converted to quantifiable data to facilitate statistical analysis of potential differences or improvements between treatments. The results demonstrate that the application of 80% relative humidity successfully revived aged latent palmprints across all factors. The combined effect of humidity followed v by CFM treatment and RUVIS detection was greatest for minutiae count and ridge thickness, while percent print recovery and contrast demonstrated more modest improvements when compared to control prints. Additionally, cool temperature treatments outperformed warm temperature treatments across all factors except contrast. The data therefore suggest that to achieve print rejuvenation and overall improvements in RUVIS detection, combined cool humidity and CFM is more effective than humidity alone. The data also indicate a potential correlation between temperature treatments and latent print age. Warm humidity combined with CFM appeared to best enhance RUVIS images on fresher prints of a few days to one week old, while cool humidity and CFM appeared to maximally enhance RUVIS images on prints of several weeks old

Fusion of multiple features for palmprint authentication

Author name used in this publication: David ZhangVersion of RecordPublishe

A Review on Palm Print Recognition System

Biometrics based authentication and recognition system helps to identify individuals based on various behavior and physical characteristics, which can be used for their unique personal identifications. Various physical characteristics like iris patterns, facial features, fingerprint patterns, retina patterns, palmprint patterns etc. are utilized for such identification purposes, Palm print recognition is counted as most suitable and reliable biometric recognition system because of its merits, such as user friendliness, low cost, high accuracy and high speed. A system that uses palmprint as recognize individuals involves the matching of the various principal lines, creases and wrinkles on the palm surface. Since the random orientations of muscles and tissues of the hand create the palmprint patterns during birth, these patterns are unique so no two palmprint patterns are exactly same for any individuals. This paper provides a detailed overview of palmprint recognition approaches, by describing the various steps and processing involve in palmprint identification

Android Based Palmprint Recognition System

This paper aims to build a palmprint recognition system based on Android. Line detection and non-overlapping blocks methods used on the design of palmprint recognition system. Normalized Euclidean distance was used to match the two feature vector. The similarity degrees was measured by the smallest value. The method was applied to the system can result an accuracy rate about 91,32% (FMR = 5,2%, FNMR = 3,68%, T = 0,265). System testing was done as much as 2500 times to the 50 participants with 3 reference images of each user. The factor that influenced on system accuracy was the process of image acquisition. Palmprint images was taken directly by using camera on the android smartphone device

Analysis of brute-force break-ins of a palmprint authentication system

Author name used in this publication: Adams W. K. Kong2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Dermatoglyphic appraisal of multiple births women in Igbo-Ora and Ogbomosho, South west, Nigeria

The scientific study of epidermal ridges on the palms and toes is termed dermatoglyphics. Multiple births occur when more than one fetus results  from a single pregnancy. This study is aimed at determining the relationship if any between multiple births and palmar flexion creases. Two  hundred Igbo-Ora and one hundred Ogbomosho healthy and consenting adult female indigenes aged between 25-50 years were recruited and grouped into 4; group I consisted of multiple births women in Igbo-Ora; group II consisted of single births women in Igbo-Ora; group III consisted of multiple births women in Ogbomosho; and group IV consisted of single births women in Ogbomosho. A total of 600 palms (Igbo-Ora n=400; Ogbomosho n=200) comprising of both hands were used in the study. Palm prints samples were obtained by asking the participants to wash their hands, towel dry them, after which they were stained with stamp ink pad and prints made on A4 paper in duplicates. Palm print patterns of 105 (Igbo-Ora) and 50 (Ogbomosho) women with multiple births were compared with 95 (Igbo-Ora) and 50 (Ogbomosho) women with single births. The percentage number of primary, P and intersection, I of palmar creases with complete transverse creases, C (PIC) 300 bilaterally was significantly  greater (p < 0.005) in the hands of Igbo-Ora multiple births women (52.4 %) than their single births women (37.4%) while same trend was observed for Ogbomosho women although difference was statistically insignificant,(p > 0.005). In both Igbo-Ora and Ogbomosho women, PIC 310 bilaterally was found to be significantly higher (p < 0.05) in both hands of single births women than the multiple births women. Hence, dermatoglyphics can be said to have relationship with a woman’s tendency to giving birth to multiples. Keywords: Multiple births, dermatoglyphics, palmar flexion creases, Ogbomosho, Igbo-Or

A Survey Paper on Palm Prints Based Biometric Authentication System

In this paper we are providing an approach for authentication using palm prints. Reliability in computer aided personal authentication is becoming increasingly important in the information-based world, for effective security system. Biometrics is physiological characteristics of human beings, unique for every individual that are usually time invariant and easy to acquire. Palm print is one of the relatively new physiological biometrics due to its stable and unique characteristics. The rich information of palm print offers one of the powerful means in personal recognition