Lip Print Recognition Method Using Bifurcations Analysis

Wróbel, Krzysztof; Doroz, Rafał; Palys, Malgorzata

doi:10.1007/978-3-319-15705-4_8

Cited by 14 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The lip print was then captured using a smartphone camera (OPPO F1, 13 mega pixels front camera) and then analysed using Adobe Photoshop software. The brightness and contrast level of pixels of the images was increased to get a clear image of each line that appears on the lip print (Wrobel K. et al 2015). Adobe Photoshop applications was used to trace each line on the lip print and all the patterns were classified based on Suzuki and Tsuchihashi classification (Tsuchihashi 1974).…”

Section: Methodsmentioning

confidence: 99%

Digital Approach for Lip Prints Analysis in Malaysian Malay Population (Klang Valley): Photograph on Lipstick-Cellophane Tape Technique

Rahman

Hamzah

2019

JSKM

View full text Add to dashboard Cite

Personal identification in forensic investigation is not an easy process. Lip print analysis is one of the techniques that can be used to assist in human identification. This study was conducted to investigate the sex based on lip print pattern among Malaysian Malay population in Klang Valley, using photograph on lipstick-cellophane tape technique and the Suzuki and Tsuchihashi classification. A total of 360 subjects (180 males and 180 females) aged 15 and above were included in this study. The lip print was taken by pressing a cellophane tape to the lipstick applied on lip, pasted it onto a plain A4 paper and then photographed using a smart phone camera (OPPO F1). The images were then analysed using Adobe Photoshop software. A lip print image were divided into six sections: upper left, upper middle, upper right, lower right, lower middle and lower left. The Pearson chi-square test showed that there are significant differences between sexes in each section except for the upper middle section. Type V (irregular pattern) was the dominant pattern for the upper left, upper right, lower right and lower left sections (ranging from 71.1% to 86.7% for males and 80.6% to 83.9% for females) while type IV (reticular pattern) was mostly found in upper middle and lower middle section. Malaysian female displayed type V as the dominant lip print pattern in every section (ranging from 39.4% to 83.9%) except upper middle section and for Malaysian male, type V dominated the lip print pattern in all section (ranging from 71.1% to 86.7%) except for the upper and lower middle section. The result of this study can be applied in assisting the human identification for forensic science investigation. ABSTRAK Identifikasi peribadi dalam penyiasatan forensik bukan satu proses yang mudah. Analisis cap bibir adalah salah satu teknik yang boleh digunakan untuk membantu identifikasi manusia. Kajian ini dijalankan untuk mengkaji jantina berdasarkan corak cap bibir pada setiap bahagian bibir dalam kalangan populasi Melayu Malaysia di Lembah Klang, menggunakan teknik fotografi pada gincu-pita selofan dengan merujuk kepada klasifikasi Suzuki dan Tsuchihashi. Seramai 360 subjek (180 lelaki dan 180 perempuan) berumur 15 tahun dan keatas telah terlibat dalam kajian ini. Cap bibir telah diambil dengan menekan pita selofan pada gincu di bibir, ditampal atas kertas kosong A4 dan kemudian gambar diambil menggunakan kamera telefon pintar (OPPO F1). Gambar tersebut dianalisis dengan menggunakan perisian "Adobe Photoshop". Cap bibir dibahagikan kepada enam bahagian: kiri atas, tengah atas, kanan atas, kanan bawah, tengah bawah dan kiri bawah. Ujian khi-square Pearson menyatakan terdapat perbezaan yang signifikan antara jantina pada setiap bahagian bibir kecuali bahagian tengah atas. Jenis V (corak tidak teratur) adalah yang paling dominan dijumpai pada bahagian kiri atas, kanan atas, kanan bawah dan kiri bawah bibir (71.1% ke 86.7% untuk lelaki dan 80.6% ke 83.9% untuk perempuan) sementara jenis IV (corak retikular) kebanyakannya dijumpai pada tengah atas d...

show abstract

Section: Methodsmentioning

confidence: 99%

Digital Approach for Lip Prints Analysis in Malaysian Malay Population (Klang Valley): Photograph on Lipstick-Cellophane Tape Technique

Rahman

Hamzah

2019

JSKM

View full text Add to dashboard Cite

show abstract

“…The location of the midpoint of the section is maybe changed because the lip is very soft which affects the accuracy Wrobel et al [18] Bifurcation analysis http://biometrics.us.edu.pl 77% The error rate was 23%. In their method some pixels imitated bifurcations that did not exist in the lip print pattern.…”

Section: 1%mentioning

confidence: 99%

“…In general, features can be classified into texture, shape, and color. The form and position of the lip furrows were analyzed in texture features such as Markov models [16], radon transform [17], Bifurcation's analysis [18], HT [19], Top_Hat [20], gabor filter, local binary pattern (LBP) [21], dynamic time warping (DTW) [22], [23], statical analysis [24], [25], scale invariant feature transform (SIFT), speeded up robust features (SURF) [26], location and inclination of the furrows [27], LBP, area and perimeter [28] and principal component analysis (PCA) [29]. Shape features include general geometric properties of the lips [30], Rotation, scale, and translation invariant image [31], and Shape descriptors [32].…”

Section: Introductionmentioning

confidence: 99%

Personal identification using lip print furrows

Anai

Mersal

Mostafa

2023

IJEECS

View full text Add to dashboard Cite

There are common techniques for personal identification such as fingerprint recognition, face recognition, and iris recognition. In this paper, we suggest a new method for personal identification using lip print furrows. This method will be useful in forensics services. This study aims to identify people by their lip print patterns that are unique for each person. Lip print features are extracted from the lip print images by using the vertical Sobel operator, diagonal ±45 lines, and hough transform. A lip print pattern was formed for each person containing only the furrows (the extracted features) that were extracted from 3 lip print images for that person. The correlation coefficients and the mean squared error (MSE) are provided and passed to the support vector machine (SVM) for the classification process. The suggested method gives good results. A comparison between the results of the proposed method and other methods was presented.

show abstract

“…Wrobel et al [16] proposed using bifurcation analysis for lip recognition. The proposed solution contained pre‐processing, feature extraction and identification.…”

Section: Literature Studymentioning

confidence: 99%

Lip print‐based identification using traditional and deep learning

Farrukh

Haar

2022

IET Biometrics

View full text Add to dashboard Cite

The concept of biometric identification is centred around the theory that every individual is unique and has distinct characteristics. Various metrics such as fingerprint, face, iris, or retina are adopted for this purpose. Nonetheless, new alternatives are needed to establish the identity of individuals on occasions where the above techniques are unavailable. One emerging method of human recognition is lip-based identification. It can be treated as a new kind of biometric measure. The patterns found on the human lip are permanent unless subjected to alternations or trauma. Therefore, lip prints can serve the purpose of confirming an individual's identity. The main objective of this work is to design experiments using computer vision methods that can recognise an individual solely based on their lip prints. This article compares traditional and deep learning computer vision methods and how they perform on a common dataset for lip-based identification. The first pipeline is a traditional method with Speeded Up Robust Features with either an SVM or K-NN machine learning classifier, which achieved an accuracy of 95.45% and 94.31%, respectively. A second pipeline compares the performance of the VGG16 and VGG19 deep learning architectures. This approach obtained an accuracy of 91.53% and 93.22%, respectively.

show abstract

Lip Print Recognition Method Using Bifurcations Analysis

Cited by 14 publications

References 10 publications

Digital Approach for Lip Prints Analysis in Malaysian Malay Population (Klang Valley): Photograph on Lipstick-Cellophane Tape Technique

Digital Approach for Lip Prints Analysis in Malaysian Malay Population (Klang Valley): Photograph on Lipstick-Cellophane Tape Technique

Personal identification using lip print furrows

Lip print‐based identification using traditional and deep learning

Contact Info

Product

Resources

About