Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System

SUMMARY: Palatal rugae is an irregular soft tissue, which is located in the front third of the hard palate, and is asymmetrically distributed from the middle suture to the sides. The difference, stability and extensive characteristics of palatal rugae morphology have gradually make it a characterist...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Shangguan,Hong, Li,Bing, Zhang,Xiong, Ji,Xin-Xin, Kwon,Tae-Geon, Wu,Xiu-Ping
Lenguaje:English
Publicado: Sociedad Chilena de Anatomía 2019
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022019000100324
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0717-95022019000100324
record_format dspace
spelling oai:scielo:S0717-950220190001003242019-09-11Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification SystemShangguan,HongLi,BingZhang,XiongJi,Xin-XinKwon,Tae-GeonWu,Xiu-Ping Forensic odontology Palatal rugae Forensic identification Direction vector Image correction SUMMARY: Palatal rugae is an irregular soft tissue, which is located in the front third of the hard palate, and is asymmetrically distributed from the middle suture to the sides. The difference, stability and extensive characteristics of palatal rugae morphology have gradually make it a characteristic indicator of forensic identification. However, a mature digital palatal rugae identification system has not yet been established at present. Feature extraction is the premise of palatal rugae image recognition. In order to obtain palatal rugae feature information in all directions and improve the reliability of forensic identification, it is necessary to collect palatal rugae images from a plurality of different angles. When the collected images are sent to the recognition system, the diversity of angles will often cause problems such as error recognition. If the tilted images are not rotated properly, it will make the forensic identification face many difficulties. To solve the problem of image skew caused by the diversity of acquisition angle, an algorithm based on orientation vector to correct the tilted palatal rugae images was proposed in this paper. Firstly, the criteria for standard palatal rugae image and the selection rules for feature points were set; Secondly, characterizing feature points according to the rules, and fitting two lines and find their direction vector; Finally, to obtain the corrected images, the tilted images were rotated by the angle determined by the two direction vectors. Simulation results show that the proposed algorithm can correct the tilted palatal rugae images collected from different angles and has strong robustness.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.37 n.1 20192019-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022019000100324en10.4067/S0717-95022019000100324
institution Scielo Chile
collection Scielo Chile
language English
topic Forensic odontology
Palatal rugae
Forensic identification
Direction vector
Image correction
spellingShingle Forensic odontology
Palatal rugae
Forensic identification
Direction vector
Image correction
Shangguan,Hong
Li,Bing
Zhang,Xiong
Ji,Xin-Xin
Kwon,Tae-Geon
Wu,Xiu-Ping
Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System
description SUMMARY: Palatal rugae is an irregular soft tissue, which is located in the front third of the hard palate, and is asymmetrically distributed from the middle suture to the sides. The difference, stability and extensive characteristics of palatal rugae morphology have gradually make it a characteristic indicator of forensic identification. However, a mature digital palatal rugae identification system has not yet been established at present. Feature extraction is the premise of palatal rugae image recognition. In order to obtain palatal rugae feature information in all directions and improve the reliability of forensic identification, it is necessary to collect palatal rugae images from a plurality of different angles. When the collected images are sent to the recognition system, the diversity of angles will often cause problems such as error recognition. If the tilted images are not rotated properly, it will make the forensic identification face many difficulties. To solve the problem of image skew caused by the diversity of acquisition angle, an algorithm based on orientation vector to correct the tilted palatal rugae images was proposed in this paper. Firstly, the criteria for standard palatal rugae image and the selection rules for feature points were set; Secondly, characterizing feature points according to the rules, and fitting two lines and find their direction vector; Finally, to obtain the corrected images, the tilted images were rotated by the angle determined by the two direction vectors. Simulation results show that the proposed algorithm can correct the tilted palatal rugae images collected from different angles and has strong robustness.
author Shangguan,Hong
Li,Bing
Zhang,Xiong
Ji,Xin-Xin
Kwon,Tae-Geon
Wu,Xiu-Ping
author_facet Shangguan,Hong
Li,Bing
Zhang,Xiong
Ji,Xin-Xin
Kwon,Tae-Geon
Wu,Xiu-Ping
author_sort Shangguan,Hong
title Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System
title_short Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System
title_full Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System
title_fullStr Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System
title_full_unstemmed Research on Correction Method of Palatal Rugae Morphology in Forensic Digital Identification System
title_sort research on correction method of palatal rugae morphology in forensic digital identification system
publisher Sociedad Chilena de Anatomía
publishDate 2019
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022019000100324
work_keys_str_mv AT shangguanhong researchoncorrectionmethodofpalatalrugaemorphologyinforensicdigitalidentificationsystem
AT libing researchoncorrectionmethodofpalatalrugaemorphologyinforensicdigitalidentificationsystem
AT zhangxiong researchoncorrectionmethodofpalatalrugaemorphologyinforensicdigitalidentificationsystem
AT jixinxin researchoncorrectionmethodofpalatalrugaemorphologyinforensicdigitalidentificationsystem
AT kwontaegeon researchoncorrectionmethodofpalatalrugaemorphologyinforensicdigitalidentificationsystem
AT wuxiuping researchoncorrectionmethodofpalatalrugaemorphologyinforensicdigitalidentificationsystem
_version_ 1718445092172201984