diff --git a/.obsidian/workspace.json b/.obsidian/workspace.json index d7bcc72..438d154 100644 --- a/.obsidian/workspace.json +++ b/.obsidian/workspace.json @@ -42,18 +42,18 @@ "state": { "type": "pdf", "state": { - "file": "Biometric Systems/slides/LEZIONE11_Fingerprints.pdf", - "page": 35, - "left": -14, - "top": 491, - "zoom": 1.0875 + "file": "Biometric Systems/slides/Riassunto_2021_2022.pdf", + "page": 46, + "left": -11, + "top": 729, + "zoom": 1.3154136917261656 }, "icon": "lucide-file-text", - "title": "LEZIONE11_Fingerprints" + "title": "Riassunto_2021_2022" } } ], - "currentTab": 2 + "currentTab": 1 } ], "direction": "vertical" @@ -204,8 +204,7 @@ } ], "direction": "horizontal", - "width": 604.5, - "collapsed": true + "width": 604.5 }, "left-ribbon": { "hiddenItems": { @@ -224,12 +223,14 @@ "companion:Toggle completion": false } }, - "active": "5daa52ac6f774870", + "active": "0d5325c0f9289cea", "lastOpenFiles": [ - "Biometric Systems/notes/11. Fingerprints.md", - "Biometric Systems/slides/LEZIONE11_Fingerprints.pdf", - "Biometric Systems/slides/LEZIONE12_MULBIOMETRIC.pdf", "Biometric Systems/frequently asked questions/BS_oral_questions_16022021.md", + "Biometric Systems/slides/Riassunto_2021_2022.pdf", + "Biometric Systems/slides/Biometric_System___Notes.pdf", + "Biometric Systems/slides/LEZIONE11_Fingerprints.pdf", + "Biometric Systems/notes/11. Fingerprints.md", + "Biometric Systems/slides/LEZIONE12_MULBIOMETRIC.pdf", "Biometric Systems/notes/13. Multi biometric.md", "Biometric Systems/notes/9. Ear recognition.md", "Biometric Systems/slides/LEZIONE3_Affidabilita_del_riconoscimento.pdf", @@ -245,8 +246,6 @@ "Biometric Systems/notes/8 Face anti spoofing.md", "Autonomous Networking/notes/q&a.md", "Biometric Systems/slides/LEZIONE2_Indici_di_prestazione.pdf", - "Biometric Systems/slides/LEZIONE7_Face recognition3D.pdf", - "Foundation of data science/slides/More on Neural Networks (1).pdf", "Foundation of data science/notes/9 XGBoost.md", "Foundation of data science/notes/Untitled.md", "Foundation of data science/notes/9 Gradient Boosting.md", diff --git a/Biometric Systems/notes/11. Fingerprints.md b/Biometric Systems/notes/11. Fingerprints.md index 1d14d5a..04919c0 100644 --- a/Biometric Systems/notes/11. Fingerprints.md +++ b/Biometric Systems/notes/11. Fingerprints.md @@ -101,6 +101,8 @@ Once a fingerprint has been segmentated we can start extracting **macro-features ##### Directional map ~~The local orientation of the ridge line in the position [i, j] is defined as the angle $\theta(i,j)$ formed by considering the horizontal line at that point, and a point on the ridge line sufficiently closer to [i, j].~~ + +Definizione: matrice in cui la cella [i, j] rappresenta l'angolo che la tangente alla ridge line forma con l'asse orizzontale. ![[Pasted image 20241127224325.png]] - most approaches use a grid measure (instead of measuring at each point) - the directional image D is a matrix in which each element denotes the average orientation of the ridge (of the tangent to the ridge) in a neighborhood of $[x_{i}, y_{i}]$