STUDY OF FINGERPRINT PATTERN IN KASHMIRI POPULATION

Background: Dactylography/Dactyloscopy/Dermatoglyphics is the study of fingerprints as a method of identification.Fingerprint is an easily available,accurate and authentic method of identification.Importance of fingerprints is of immense use in forensic,and criminal application.Nowadays the subject is also developing importance in various other field as well.A Aim:To identify the fingerprint pattern and its relation with gender in kashmiri population. Material and Method: A cross sectional study was done in the government chest disease hospital.The subjects were the staff of the department belonging to various regions and districts of kashmir.The subjects were asked to press their fingers on the stamp pad and then transfered to the paper. Result: Loops were the most common pattern found followed by whorls and arches.Loops was found in 53.8%,whorls in 39.5% and arches in 6.7%.In gender wise distribution a higher percentage of loops was found in females and whorls in males. Conclusion: In the current research work different types of fingerprint patterns were found. Fingerprint is an easily available and effective method of identification of a person. This study will prove helpful to experts in solving criminal cases, identifying missing persons or in case of a disaster.

User identification system for inked fingerprint pattern based on central moments

The <span>use of the fingerprint recognition has been and remains very important in many security applications and licensing systems. Fingerprint recognition is required in many areas such as licensing access to networks, corporate computers and organizations. In this paper, the system of fingerprint recognition that can be used in several cases of fingerprint such as being rounded at an angle by a randomly inked fingerprint on paper. So, fingerprint image is tooked at a different angle in order to identify the owner of the ink fingerprint. This method involves two working levels. The first one, the fingerprint pattern's shape features are calculated based on the central moments of each image being listed on a regular basis with three states rotation. Each image is rotated at a specified angle. In the second level, the fingerprint holder entered is identified using the previously extracted shape features and compared to the three local databases content of three rotation states. When applied the method for several persons by taken their inked fingerprint on the paper, the accuracy of the system in identifying the owner of the fingerprint after rotation states were close to 83.71.</span>

Comparative Experimental Investigation of Deep Convolutional Neural Networks for Latent Fingerprint Pattern Classification

Fingerprint pattern recognition is of great importance in forensic examinations and in helping diagnose some diseases. The automatic realization of fingerprint recognition processes can take time due to the feature extraction process in classical machine learning or deep learning methods. In this study, the effective use of deep convolutional neural networks (DCNN) in fingerprint pattern recognition and classification, in which feature extraction takes place automatically, was examined experimentally and comparatively. Five DCNN models have been designed and implemented with a transfer learning approach. Four of these five models are Alexnet, Googlenet, Resnet-18, and Squeezenet pre-trained DCNN models. The fifth model is the DCNN model designed from the ground up. It was concluded that the designed DCNN models can be used effectively in fingerprint recognition and classification, and that fast results can be obtained and generalized with advanced DCNN models.

STUDY OF FINGERPRINT PATTERN IN RELATION TO GENDER AND BLOOD GROUP IN JHALAWAR REGION

Dermatoglyphics, the study of epidermal ridges on palm, sole, and digits, is considered as most effective and reliable evidence of identification. Finger prints are the impressions made by fine ridges present on finger tips which are highly individualistic. The fingerprint ridges develop between 2nd and 3rd months of intra uterine life and remain unchanged in an individual throughout life. Out of many blood grouping systems available, ABO and Rh systems are the most important and are considered for the present study. Due to the immense potential of fingerprints as an effective method of identification an attempt has been made in the present work to analyse their correlation with gender and blood group of an individual. This study is carried out on 100 subjects (50 male and 50 female) having different ABO blood groups and belonging to different age groups. All the 10 fingerprints are taken and divided into loops, whorls, arches and composite. The results show that majority of the subjects belonged to blood group O. The fingerprint pattern of loops is most commonly found followed by whorls, arches and composite. Loops are higher in males whereas whorls and arches are found more in females. Composites are being in same proportion in both sexes. Highest frequency of loops is seen in O positive blood group followed by B positive. Among loops ulnar loops are predominant. Keywords: Fingerprints, Loops, Whorls, Arches, Blood Group, Pattern, Gender.

STUDY OF FINGER PRINT PATTERN IN DIFFERENT BLOOD GROUPS AMONG INDIAN POPULATION

Background:Among the various comparative data techniques, establishing identication through ngerprints is documented and regarded as the utmost contribution to the criminal investigation. Through its signicant features, the science of ngerprint provides an exceptional service in solving the crimes and it is also useful in other elds where establishing identication is of major importance. Objective:This study aimed to establish a likely correlation between ngerprint pattern and the ABO blood group. Methods: The present cross-sectional study was carried out on 500 subjects of Indian origin aged above 18 years, who were selected randomly using a convenience sampling technique. Results: Fingerprint pattern analysis showed that loops were the most common pattern in the study amounting to 54% followed by whorls registering 39% and arches were present in a smaller percentage (7%) in the study group. The incidence of loops and whorls was maximum in the O blood group and arches were more common with blood group B. Conclusion:The ngerprint pattern and ABO blood group showed a signicant correlation. The distribution of the different pattern of ngerprints in individual nger also showed some peculiarities concerning the ABO blood group.

Effects of oils, lotions, hand sanitizers, and mehendi on fingerprints captured through digital fingerprint scanner

Background In this modern era, advancement in technology is seen in every aspect of our life making it comparatively much easier. Likewise, in the field of fingerprinting, the digital scanners have replaced conventional methods of taking fingerprints, as it is accurate and less time-consuming. In daily life, people often apply oils, lotions, hand sanitizers, and occasionally mehendi on their hands. These cosmetic and daily use products affect the digital recording of fingerprints, thus making it difficult for forensic experts to identify the real offender in many cases. The purpose of the study was to check the effect of oils, lotions, hand sanitizers, and mehendi on the fingerprint pattern. Results The present study was undertaken by taking 2700 fingerprints from 30 individuals. These fingerprints were recorded with the help of the SecuGen Hamster IV fingerprint scanner under controlled environmental conditions. The examination and comparison of fingerprint patterns were done on the basis of visibility (clarity and intensity). The presence of cosmetic and daily use products affected the visibility of digitally captured fingerprints. Different products caused different effects based on their properties. Synthetic mehendi, alcohol-based hand sanitizer, greasy lotion, and viscous oil caused significant differences in the fingerprint images by degrading the fingerprint quality. The non-greasy lotion and non-alcohol-based hand sanitizer showed less effect, whereas non-viscous oil and natural mehendi caused a minimal effect on the quality of fingerprint images. Conclusion The application of cosmetic and daily use products added an additional layer on the fingers which is not present naturally. The additional layer caused alterations in the fingerprint pattern of an individual. So, digital fingerprints should be collected after proper washing of hands.

Novel Antibiotics from a ‘White Box’ 2D Structural Fingerprint Decision Tree

<p>The paper is concerned with repurposing drugs based on chemical similarity to existing drugs, with an application to antibiotics. A simple ‘white box’ 2D chemical fingerprint-based decision tree approach is shown to largely recapitulate a neural network study in the literature. In particular, the repurposing of halicin is shown to be based on an explicit fingerprint pattern, unlike the neural network ‘black box’ methodology.</p>

Novel Antibiotics from a ‘White Box’ 2D Structural Fingerprint Decision Tree

<p>The paper is concerned with repurposing drugs based on chemical similarity to existing drugs, with an application to antibiotics. A simple ‘white box’ 2D chemical fingerprint-based decision tree approach is shown to largely recapitulate a neural network study in the literature. In particular, the repurposing of halicin is shown to be based on an explicit fingerprint pattern, unlike the neural network ‘black box’ methodology.</p>